https://blog.schoergendorfer.com/post/report-shines-spotlight-on-91-vulnerabilities-fixed-in-latest-update-to-spring-fSecFeedde2026-08-25T15:35:24.927156+00:00Report Shines Spotlight on 91 Vulnerabilities Fixed in Latest Update to Spring Frameworkhttps://blog.schoergendorfer.com/post/now-introducing-gemini-enterprise-for-financial-servicesSecFeedde2026-08-25T15:35:23.909627+00:00Now introducing Gemini Enterprise for Financial Serviceshttps://blog.schoergendorfer.com/post/now-introducing-gemini-enterprise-for-legalSecFeedde2026-08-25T15:35:23.870218+00:00Now introducing Gemini Enterprise for Legalhttps://blog.schoergendorfer.com/post/scale-software-delivery-pipelines-in-isolation-without-owning-the-runner-fleetSecFeedde2026-08-25T15:17:42.833371+00:00Scale software delivery pipelines in isolation without owning the runner fleethttps://blog.schoergendorfer.com/post/the-lazy-developers-guide-to-observing-your-own-codeSecFeedde2026-08-25T15:17:42.804938+00:00The lazy developer’s guide to observing your own codehttps://blog.schoergendorfer.com/post/stop-trying-to-learn-all-of-kubernetes-at-onceSecFeedde2026-08-25T15:03:24.912158+00:00Stop trying to learn all of Kubernetes at oncehttps://blog.schoergendorfer.com/post/ohne-titel-7SecFeedde2026-08-25T15:03:23.909524+00:00Ohne Titelhttps://blog.schoergendorfer.com/post/aws-lambda-functions-now-support-full-iam-resource-based-policiesSecFeedde2026-08-25T14:48:49.855614+00:00AWS Lambda functions now support full IAM resource-based policieshttps://blog.schoergendorfer.com/post/the-safety-penalty-reclaiming-operational-sovereignty-in-the-age-of-aiSecFeedde2026-08-25T14:34:19.727803+00:00The safety penalty: Reclaiming operational sovereignty in the age of AIhttps://blog.schoergendorfer.com/post/i-spent-a-day-at-a-robot-carnival-in-shanghai-heres-what-i-sawSecFeedde2026-08-25T14:34:19.613563+00:00I spent a day at a robot “carnival” in Shanghai. Here’s what I saw.https://blog.schoergendorfer.com/post/multi-agent-orchestration-with-the-common-sense-reasoning-capabilities-of-llms-f-2SecFeedde2026-08-25T13:34:29.431660+00:00Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Drivinghttps://blog.schoergendorfer.com/post/decomposition-attacks-across-unlinkable-identities-limits-of-stateful-defenses-f-2SecFeedde2026-08-25T13:34:29.396562+00:00Decomposition Attacks Across Unlinkable Identities: Limits of Stateful Defenses for LLM Serviceshttps://blog.schoergendorfer.com/post/towards-understanding-on-policy-distillation-through-the-lens-of-test-time-scali-2SecFeedde2026-08-25T13:34:29.357711+00:00Towards Understanding On-Policy Distillation through the Lens of Test-Time Scalinghttps://blog.schoergendorfer.com/post/do-llm-recommenders-know-when-theyre-hallucinating-auditing-confidence-calibrati-3SecFeedde2026-08-25T13:34:29.315189+00:00Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulnesshttps://blog.schoergendorfer.com/post/macaron-v1-towards-open-continual-learning-with-self-improvement-and-mixture-of-2SecFeedde2026-08-25T13:16:32.620422+00:00Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRAhttps://blog.schoergendorfer.com/post/a-jolt-for-the-kv-cache-near-lossless-kv-cache-compression-via-joint-lagrangianSecFeedde2026-08-25T13:16:32.587577+00:00A JoLT for the KV cache: Near-lossless KV cache compression via joint Lagrangian allocation of Tucker ranks and a rotated residual for llmshttps://blog.schoergendorfer.com/post/scar-semantic-continuity-aware-retrieval-for-efficient-context-expansion-in-ragSecFeedde2026-08-25T13:16:32.555313+00:00SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAGhttps://blog.schoergendorfer.com/post/same-payload-different-channel-measuring-trust-asymmetry-in-tool-using-languageSecFeedde2026-08-25T13:16:32.497694+00:00Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Modelshttps://blog.schoergendorfer.com/post/safelens-deliberate-and-efficient-video-guardrails-with-fast-and-slow-screeningSecFeedde2026-08-25T13:16:32.463035+00:00SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screeninghttps://blog.schoergendorfer.com/post/detecting-and-suppressing-reward-hacking-with-gradient-fingerprintsSecFeedde2026-08-25T13:16:32.430647+00:00Detecting and Suppressing Reward Hacking with Gradient Fingerprintshttps://blog.schoergendorfer.com/post/scaling-electronic-health-record-foundation-models-for-population-health-managemSecFeedde2026-08-25T13:16:32.311367+00:00Scaling Electronic Health Record Foundation Models for Population Health Managementhttps://blog.schoergendorfer.com/post/forgetting-to-forget-attention-sink-as-a-gateway-for-backdooring-llm-unlearningSecFeedde2026-08-25T13:16:32.278192+00:00Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearninghttps://blog.schoergendorfer.com/post/benchmarking-and-boosting-multilingual-capabilities-of-lvlms-via-ocr-centric-reiSecFeedde2026-08-25T13:16:32.247542+00:00Benchmarking and Boosting Multilingual Capabilities of LVLMs via OCR-Centric Reinforcement Learninghttps://blog.schoergendorfer.com/post/foredreamer-a-self-evolving-dual-agent-memory-architecture-for-future-event-pred-2SecFeedde2026-08-25T13:16:32.219921+00:00ForeDreamer: A Self-Evolving Dual-Agent Memory Architecture for Future Event Predictionhttps://blog.schoergendorfer.com/post/synflow-a-multidimensional-diachronic-semantic-analysis-toolkit-2SecFeedde2026-08-25T13:16:32.190086+00:00SynFlow: A Multidimensional Diachronic Semantic Analysis Toolkithttps://blog.schoergendorfer.com/post/tracesql-traceable-answerability-estimation-for-reference-free-text-to-sql-verif-2SecFeedde2026-08-25T13:16:32.161627+00:00TraceSQL: Traceable Answerability Estimation for Reference-Free Text-to-SQL Verificationhttps://blog.schoergendorfer.com/post/every-coin-has-two-sides-on-the-dual-nature-of-generalization-in-on-policy-disti-2SecFeedde2026-08-25T13:16:32.134015+00:00Every Coin Has Two Sides: On the Dual Nature of Generalization in On-Policy Distillation of Large Language Modelshttps://blog.schoergendorfer.com/post/ask-condition-or-abstain-reinforcement-learning-for-missing-premise-reasoning-2SecFeedde2026-08-25T13:16:32.102384+00:00Ask, Condition or Abstain: Reinforcement Learning for Missing-Premise Reasoninghttps://blog.schoergendorfer.com/post/agentic-duplexgen-decoupling-content-timing-and-acoustics-for-synthetic-dialogueSecFeedde2026-08-25T13:16:32.070635+00:00Agentic-DuplexGen: Decoupling Content, Timing, and Acoustics for Synthetic Dialogue Speechhttps://blog.schoergendorfer.com/post/training-agents-to-evolve-with-their-harness-taolive-digital-avatar-agent-techniSecFeedde2026-08-25T13:16:32.041256+00:00Training Agents to Evolve with Their Harness: TaoLive Digital Avatar Agent Technical Reporthttps://blog.schoergendorfer.com/post/massive-activations-in-hybrid-linear-attention-large-language-models-pre-attenti-2SecFeedde2026-08-25T13:01:56.773836+00:00Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaushttps://blog.schoergendorfer.com/post/sag-sql-retrieval-augmented-generation-with-query-time-dynamic-hyperedges-2SecFeedde2026-08-25T13:01:56.746206+00:00SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedgeshttps://blog.schoergendorfer.com/post/every-token-counts-exact-likert-scale-distributions-for-measuring-llm-attitudes-2SecFeedde2026-08-25T13:01:56.718154+00:00Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biaseshttps://blog.schoergendorfer.com/post/accurate-but-natural-diagnosing-grammatical-and-idiomatic-gaps-in-japanese-efl-w-2SecFeedde2026-08-25T13:01:56.689307+00:00Accurate but Natural? Diagnosing Grammatical and Idiomatic Gaps in Japanese EFL Writinghttps://blog.schoergendorfer.com/post/constructcie-a-dataset-for-extracting-causal-information-from-construction-accid-2SecFeedde2026-08-25T13:01:56.652697+00:00ConstructCIE: A Dataset for Extracting Causal Information from Construction Accident Narrativeshttps://blog.schoergendorfer.com/post/sparse-ppmi-graph-averaging-for-random-indexing-embeddingsSecFeedde2026-08-25T13:01:56.621142+00:00Sparse PPMI Graph Averaging for Random Indexing Embeddingshttps://blog.schoergendorfer.com/post/predicting-multilingual-classification-and-translation-performance-of-llms-with-2SecFeedde2026-08-25T13:01:56.595851+00:00Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment -- Is English Enough?https://blog.schoergendorfer.com/post/rig-rope-relation-stratified-multimodal-attention-with-instance-local-rotary-geo-2SecFeedde2026-08-25T13:01:56.565531+00:00RIG-RoPE: Relation-Stratified Multimodal Attention with Instance-Local Rotary Geometry and Representation-Aware Traversal Coordinateshttps://blog.schoergendorfer.com/post/prompt-induced-waste-in-coding-agents-reasoning-effort-harness-design-and-end-to-2SecFeedde2026-08-25T13:01:56.537843+00:00Prompt-Induced Waste in Coding Agents: Reasoning, Effort, Harness Design, and End-to-End Costhttps://blog.schoergendorfer.com/post/two-regimes-of-chain-of-thought-unfaithfulness-metric-based-detection-fails-wherSecFeedde2026-08-25T13:01:56.505701+00:00Two Regimes of Chain-of-Thought Unfaithfulness: Metric-Based Detection Fails Where Models Are Wronghttps://blog.schoergendorfer.com/post/dynakrag-a-unified-framework-for-learnable-evidence-control-in-multi-hop-retriev-2SecFeedde2026-08-25T13:01:56.471774+00:00DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generationhttps://blog.schoergendorfer.com/post/how-does-research-evolve-tracing-cross-domain-trajectories-in-nlp-ml-and-cv-throSecFeedde2026-08-25T13:01:56.440737+00:00How Does Research Evolve? Tracing Cross-Domain Trajectories in NLP, ML, and CV Through Claim-Grounded Typed Citationshttps://blog.schoergendorfer.com/post/grace-step-level-benchmark-for-faithful-reasoning-over-contextSecFeedde2026-08-25T13:01:56.415523+00:00GRACE: Step-Level Benchmark for Faithful Reasoning over Contexthttps://blog.schoergendorfer.com/post/clinically-grounded-privacy-evaluation-of-medical-lmsSecFeedde2026-08-25T13:01:56.391488+00:00Clinically Grounded Privacy Evaluation of Medical LMshttps://blog.schoergendorfer.com/post/do-value-vectors-in-deep-layers-need-context-from-the-residual-stream-3SecFeedde2026-08-25T13:01:56.341099+00:00Do Value Vectors in Deep Layers Need Context from the Residual Stream?https://blog.schoergendorfer.com/post/raset-router-agnostic-safety-critical-expert-tuning-exposes-localized-safety-enfSecFeedde2026-08-25T13:01:56.310350+00:00RASET: Router-Agnostic Safety-Critical Expert Tuning Exposes Localized Safety Enforcement Failures in Mixture-of-Experts LLMshttps://blog.schoergendorfer.com/post/checkup2action-a-multimodal-clinical-check-up-report-dataset-for-patient-oriente-2SecFeedde2026-08-25T13:01:56.283600+00:00Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generationhttps://blog.schoergendorfer.com/post/unleashing-implicit-rewards-prefix-value-learning-for-distribution-level-optimiz-2SecFeedde2026-08-25T13:01:56.226020+00:00Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimizationhttps://blog.schoergendorfer.com/post/dynhd-hallucination-detection-for-diffusion-large-language-models-via-denoisingSecFeedde2026-08-25T12:46:29.823597+00:00DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learninghttps://blog.schoergendorfer.com/post/dialects-of-translationese-shape-language-model-learningSecFeedde2026-08-25T12:46:29.795554+00:00Dialects of Translationese Shape Language Model Learninghttps://blog.schoergendorfer.com/post/adaptive-test-time-compute-allocation-for-block-diffusion-language-models-in-comSecFeedde2026-08-25T12:46:29.762622+00:00Adaptive Test-Time Compute Allocation for Block Diffusion Language Models in Complex Reasoninghttps://blog.schoergendorfer.com/post/lakehopper-knowledge-aware-adaptation-of-column-type-annotators-across-data-lakeSecFeedde2026-08-25T12:46:29.733381+00:00LakeHopper: Knowledge-Aware Adaptation of Column Type Annotators across Data Lakeshttps://blog.schoergendorfer.com/post/mirror-a-multi-agent-framework-with-iterative-adaptive-revision-and-hierarchicalSecFeedde2026-08-25T12:46:29.703567+00:00MIRROR: A Multi-Agent Framework with Iterative Adaptive Revision and Hierarchical Retrieval for Optimization Modeling in Operations Researchhttps://blog.schoergendorfer.com/post/caliburn-self-calibrated-llm-unlearning-alignmentSecFeedde2026-08-25T12:46:29.669837+00:00CALIBURN: Self-Calibrated LLM Unlearning Alignmenthttps://blog.schoergendorfer.com/post/lookahead-then-verify-reliable-constrained-decoding-for-diffusion-llms-under-conSecFeedde2026-08-25T12:46:29.636097+00:00Lookahead-then-Verify: Reliable Constrained Decoding for Diffusion LLMs under Context-Free Grammarshttps://blog.schoergendorfer.com/post/what-language-models-know-but-dont-say-non-generative-prior-extraction-for-generSecFeedde2026-08-25T12:46:29.586753+00:00What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalizationhttps://blog.schoergendorfer.com/post/opportunities-and-challenges-of-natural-language-processing-for-low-resource-senSecFeedde2026-08-25T12:46:29.556404+00:00Opportunities and Challenges of Natural Language Processing for Low-Resource Senegalese Languages in Social Science Researchhttps://blog.schoergendorfer.com/post/luxit-a-luxembourgish-instruction-tuning-dataset-from-monolingual-seed-dataSecFeedde2026-08-25T12:46:29.530929+00:00LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Datahttps://blog.schoergendorfer.com/post/syntax-guided-diffusion-language-models-with-user-integrated-personalizationSecFeedde2026-08-25T12:46:29.499743+00:00Syntax-Guided Diffusion Language Models with User-Integrated Personalizationhttps://blog.schoergendorfer.com/post/convergewriter-data-driven-bottom-up-article-constructionSecFeedde2026-08-25T12:46:29.469894+00:00ConvergeWriter: Data-Driven Bottom-Up Article Constructionhttps://blog.schoergendorfer.com/post/models-in-the-same-family-are-not-trust-equivalentSecFeedde2026-08-25T12:46:29.443193+00:00Models in the Same Family are NOT Trust-Equivalenthttps://blog.schoergendorfer.com/post/omni-safetybench-a-benchmark-for-safety-evaluation-of-audio-visual-large-languagSecFeedde2026-08-25T12:46:29.415661+00:00Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Modelshttps://blog.schoergendorfer.com/post/model-directions-not-words-mechanistic-topic-models-using-sparse-autoencodersSecFeedde2026-08-25T12:46:29.388096+00:00Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencodershttps://blog.schoergendorfer.com/post/safety-aligned-weights-are-not-enough-refusal-teacher-guided-finetuning-enhancesSecFeedde2026-08-25T12:46:29.361744+00:00Safety-Aligned Weights Are Not Enough: Refusal-Teacher-Guided Finetuning Enhances Safety and Downstream Performance under Harmful Finetuning Attackshttps://blog.schoergendorfer.com/post/reasoning-meets-personalization-unleashing-the-potential-of-large-reasoning-modeSecFeedde2026-08-25T12:46:29.335562+00:00Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generationhttps://blog.schoergendorfer.com/post/length-controlled-margin-based-preference-optimization-without-reference-modelSecFeedde2026-08-25T12:31:33.547687+00:00Length-Controlled Margin-Based Preference Optimization without Reference Modelhttps://blog.schoergendorfer.com/post/training-large-language-models-to-reason-in-a-continuous-latent-spaceSecFeedde2026-08-25T12:31:33.522673+00:00Training Large Language Models to Reason in a Continuous Latent Spacehttps://blog.schoergendorfer.com/post/bridging-linguistic-structure-and-mechanistic-interpretability-for-conceptual-inSecFeedde2026-08-25T12:31:33.494228+00:00Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Modelshttps://blog.schoergendorfer.com/post/robustness-of-ir-models-to-collection-growthSecFeedde2026-08-25T12:31:33.465484+00:00Robustness of IR Models to Collection Growthhttps://blog.schoergendorfer.com/post/expectations-and-practices-around-ai-disclosure-in-cs-researchSecFeedde2026-08-25T12:31:33.438140+00:00Expectations and Practices around AI Disclosure in CS Researchhttps://blog.schoergendorfer.com/post/the-laws-of-context-allocation-causal-measurement-and-closed-loop-orchestrationSecFeedde2026-08-25T12:31:33.410145+00:00The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Searchhttps://blog.schoergendorfer.com/post/cyberfactory-scaling-cyber-security-capabilities-with-instances-from-the-wildSecFeedde2026-08-25T12:31:33.377534+00:00CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wildhttps://blog.schoergendorfer.com/post/st2u-stateful-test-time-unlearning-via-restricted-knowledge-boundary-controlSecFeedde2026-08-25T12:31:33.321895+00:00ST$^2$U: Stateful Test-Time Unlearning via Restricted Knowledge Boundary Controlhttps://blog.schoergendorfer.com/post/warp-wasserstein-aligned-rag-for-population-opinionsSecFeedde2026-08-25T12:31:33.289753+00:00WARP: Wasserstein-Aligned RAG for Population Opinionshttps://blog.schoergendorfer.com/post/same-agent-different-answers-a-repeat-aware-audit-of-corpus-induced-answer-churnSecFeedde2026-08-25T12:31:33.263952+00:00Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QAhttps://blog.schoergendorfer.com/post/trace-temporal-retrieval-with-anchored-and-convergent-evidence-for-long-horizonSecFeedde2026-08-25T12:31:33.238867+00:00TRACE: Temporal Retrieval with Anchored and Convergent Evidence for Long-Horizon Video Understandinghttps://blog.schoergendorfer.com/post/all-four-leading-llms-talk-more-than-they-listen-to-personality-verified-synthetSecFeedde2026-08-25T12:31:33.213353+00:00All four leading LLMs talk more than they listen to personality-verified synthetic help-seekershttps://blog.schoergendorfer.com/post/graft-graph-distilled-generative-retrieval-for-facet-aware-scientific-literatureSecFeedde2026-08-25T12:31:33.183904+00:00GRAFT: Graph-Distilled Generative Retrieval for Facet-Aware Scientific Literature Explorationhttps://blog.schoergendorfer.com/post/unveiling-the-depth-performance-dilemma-in-split-federated-fine-tuning-of-llmsSecFeedde2026-08-25T12:31:33.100413+00:00Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMshttps://blog.schoergendorfer.com/post/decoupled-physical-modeling-and-execution-for-physics-reasoningSecFeedde2026-08-25T12:31:33.028173+00:00Decoupled Physical Modeling and Execution for Physics Reasoninghttps://blog.schoergendorfer.com/post/tango-token-aggregated-nonlinear-gating-operators-for-natural-and-formal-languagSecFeedde2026-08-25T12:16:33.519099+00:00TANGO: Token-Aggregated Nonlinear Gating Operators for Natural and Formal Language Modelinghttps://blog.schoergendorfer.com/post/w-rag-source-aware-retrieval-for-enterprise-document-generation-from-heterogeneoSecFeedde2026-08-25T12:16:33.491083+00:00W-RAG: Source-Aware Retrieval for Enterprise Document Generation from Heterogeneous Knowledge Baseshttps://blog.schoergendorfer.com/post/the-communication-map-of-a-transformerSecFeedde2026-08-25T12:16:33.462794+00:00The Communication Map of a Transformerhttps://blog.schoergendorfer.com/post/skillbloat-token-amplification-attacks-via-skill-injection-in-llm-coding-agentsSecFeedde2026-08-25T12:16:33.433702+00:00SkillBloat: Token Amplification Attacks via Skill Injection in LLM Coding Agentshttps://blog.schoergendorfer.com/post/learning-to-look-again-loss-gap-supervision-for-free-form-crop-routing-in-visionSecFeedde2026-08-25T12:16:33.407687+00:00Learning to Look Again: Loss-Gap Supervision for Free-form Crop Routing in Vision-Language Modelshttps://blog.schoergendorfer.com/post/the-plan-not-the-decoder-diagnosing-and-repairing-compositional-failure-in-reasoSecFeedde2026-08-25T12:16:33.378540+00:00The Plan, Not the Decoder: Diagnosing and Repairing Compositional Failure in Reasoning-Augmented Text-to-Image Generationhttps://blog.schoergendorfer.com/post/beyond-sparse-weights-when-is-attention-compressibleSecFeedde2026-08-25T12:16:33.346931+00:00Beyond Sparse Weights: When Is Attention Compressible?https://blog.schoergendorfer.com/post/damagescope-vision-language-retrieval-at-scale-for-disaster-damage-assessment-frSecFeedde2026-08-25T12:16:33.318840+00:00DamageScope: Vision-Language Retrieval at Scale for Disaster Damage Assessment from Satellite Imageryhttps://blog.schoergendorfer.com/post/generative-gap-fillingSecFeedde2026-08-25T12:16:33.293411+00:00Generative Gap Fillinghttps://blog.schoergendorfer.com/post/personamem-v3-toward-omni-platform-personal-intelligence-for-holistic-user-underSecFeedde2026-08-25T12:16:33.268826+00:00PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Taskshttps://blog.schoergendorfer.com/post/on-the-threat-model-of-weird-generalization-and-emergent-misalignmentSecFeedde2026-08-25T12:16:33.237065+00:00On the Threat Model of Weird Generalization and Emergent Misalignmenthttps://blog.schoergendorfer.com/post/stonic-a-layered-measurement-contract-for-llm-value-profilingSecFeedde2026-08-25T12:16:33.185247+00:00STONIC: A Layered Measurement Contract for LLM Value Profilinghttps://blog.schoergendorfer.com/post/a-comprehensive-analysis-of-arabic-natural-language-processing-research-trends-tSecFeedde2026-08-25T12:16:33.155523+00:00A Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Studyhttps://blog.schoergendorfer.com/post/the-geometry-of-low-resource-language-representationsSecFeedde2026-08-25T12:16:33.124806+00:00The Geometry of Low-Resource Language Representationshttps://blog.schoergendorfer.com/post/formuevo-llm-guided-evolution-for-discovering-solver-efficient-mixed-integer-proSecFeedde2026-08-25T12:16:33.092802+00:00FormuEvo: LLM-Guided Evolution for Discovering Solver-Efficient Mixed-Integer Programming Formulationshttps://blog.schoergendorfer.com/post/flesch-kincaid-readability-depends-only-on-the-topic-distribution-in-long-textsSecFeedde2026-08-25T12:16:33.063346+00:00Flesch-Kincaid Readability Depends Only on the Topic Distribution in Long Texts under Topic Modelshttps://blog.schoergendorfer.com/post/beyond-the-stability-exploration-dilemma-environmental-regularization-for-llm-poSecFeedde2026-08-25T12:16:33.033184+00:00Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimizationhttps://blog.schoergendorfer.com/post/dynamic-topic-modeling-for-cross-corpus-temporal-analysisSecFeedde2026-08-25T12:16:33.003623+00:00Dynamic Topic Modeling for Cross-Corpus Temporal Analysishttps://blog.schoergendorfer.com/post/evowiki-incremental-state-overwriting-and-traceable-question-answering-for-crossSecFeedde2026-08-25T12:16:32.977661+00:00EvoWiki: Incremental State Overwriting and Traceable Question Answering for Cross-Meeting Knowledge Evolutionhttps://blog.schoergendorfer.com/post/a-multi-domain-and-multi-task-generative-framework-with-explicit-task-and-domainSecFeedde2026-08-25T12:02:00.601307+00:00A Multi-Domain and Multi-Task Generative Framework with Explicit Task and Domain Conditioning for Cross-Domain Event Extractionhttps://blog.schoergendorfer.com/post/aligning-biomedical-texts-and-knowledge-graphs-a-systematic-comparison-of-lightwSecFeedde2026-08-25T12:02:00.565197+00:00Aligning Biomedical Texts and Knowledge Graphs: A Systematic Comparison of Lightweight Alignment Strategieshttps://blog.schoergendorfer.com/post/longwof-bench-evaluating-evomap-genes-for-verifiable-long-workflow-tasksSecFeedde2026-08-25T12:02:00.516040+00:00LongWoF-Bench: Evaluating EvoMap Genes for Verifiable Long-Workflow Taskshttps://blog.schoergendorfer.com/post/cargo-t-causal-reasoning-graph-of-thought-improves-multimodal-humor-comprehensioSecFeedde2026-08-25T12:02:00.477484+00:00CaRGo-T: Causal Reasoning Graph-of-Thought improves Multimodal Humor Comprehensionhttps://blog.schoergendorfer.com/post/accelerating-diffusion-language-models-via-structured-suffix-modelingSecFeedde2026-08-25T12:02:00.443387+00:00Accelerating Diffusion Language Models via Structured Suffix Modelinghttps://blog.schoergendorfer.com/post/counter-with-evidence-a-multi-agent-memory-efficient-reasoning-framework-for-hatSecFeedde2026-08-25T12:02:00.413697+00:00Counter with Evidence! A Multi-Agent Memory Efficient Reasoning Framework for Hate Category Informed Counterspeech Generationhttps://blog.schoergendorfer.com/post/definitional-sensitivity-in-media-bias-detection-a-multi-definition-dataset-andSecFeedde2026-08-25T12:02:00.378003+00:00Definitional Sensitivity in Media Bias Detection: A Multi-Definition Dataset and Benchmarkhttps://blog.schoergendorfer.com/post/signal-or-noise-a-benchmark-study-of-agent-skills-in-web-developmentSecFeedde2026-08-25T12:02:00.347367+00:00Signal or Noise? A Benchmark Study of Agent Skills in Web Developmenthttps://blog.schoergendorfer.com/post/most-of-the-llm-routing-gap-is-task-typeSecFeedde2026-08-25T12:02:00.281903+00:00Most of the LLM routing gap is task typehttps://blog.schoergendorfer.com/post/llm-pedagogical-behavior-in-ai-tutoring-interactionsSecFeedde2026-08-25T12:02:00.248031+00:00LLM Pedagogical Behavior in AI Tutoring Interactionshttps://blog.schoergendorfer.com/post/what-does-activation-steering-control-attribution-across-answer-encodings-and-ouSecFeedde2026-08-25T12:02:00.215776+00:00What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspaceshttps://blog.schoergendorfer.com/post/closed-loop-bayesian-molecular-inverse-design-with-semantic-llm-surrogatesSecFeedde2026-08-25T12:02:00.180506+00:00Closed-Loop Bayesian Molecular Inverse Design with Semantic LLM Surrogateshttps://blog.schoergendorfer.com/post/the-illusion-of-control-why-bare-classifier-inversion-silently-fails-in-conceptSecFeedde2026-08-25T12:02:00.147801+00:00The Illusion of Control: Why Bare Classifier Inversion Silently Fails in Concept-Bottleneck Text Generationhttps://blog.schoergendorfer.com/post/helabert-enhancing-sinhala-language-understanding-with-dual-pooling-classificatiSecFeedde2026-08-25T12:02:00.118952+00:00HelaBERT: Enhancing Sinhala Language Understanding with Dual Pooling Classification Headhttps://blog.schoergendorfer.com/post/tswap-a-multilingual-retrieval-augmented-thai-wellness-advisorSecFeedde2026-08-25T12:02:00.085151+00:00TSWAP: A Multilingual Retrieval-Augmented Thai Wellness Advisorhttps://blog.schoergendorfer.com/post/knowing-isnt-always-saying-when-do-spatial-encodings-reach-answers-in-vision-lanSecFeedde2026-08-25T12:02:00.054825+00:00Knowing Isn't Always Saying: When Do Spatial Encodings Reach Answers in Vision-Language Models?https://blog.schoergendorfer.com/post/exploring-dowker-homology-for-sentence-similaritySecFeedde2026-08-25T12:02:00.019416+00:00Exploring Dowker Homology for Sentence Similarityhttps://blog.schoergendorfer.com/post/selfusion-self-distillation-for-diffusion-language-modelsSecFeedde2026-08-25T12:01:59.983904+00:00SelFusion: Self-distillation for Diffusion Language Modelshttps://blog.schoergendorfer.com/post/better-retrieval-worse-robustnesshow-multi-hop-rag-amplifies-upstream-asr-errorsSecFeedde2026-08-25T11:46:34.104503+00:00Better Retrieval, Worse Robustness:How Multi-hop RAG Amplifies Upstream ASR Errorshttps://blog.schoergendorfer.com/post/saver-selective-auditing-of-verbal-evidence-for-error-recovery-in-vlm-change-reaSecFeedde2026-08-25T11:46:34.072685+00:00SAVER: Selective Auditing of Verbal Evidence for Error Recovery in VLM Change Reasoninghttps://blog.schoergendorfer.com/post/industrial-instruction-an-end-to-end-framework-for-building-instruction-tuning-aSecFeedde2026-08-25T11:46:34.039405+00:00Industrial-Instruction: An End-to-End Framework for Building Instruction-Tuning and Benchmark Datasets from Industrial Technical Reportshttps://blog.schoergendorfer.com/post/diag-diagnostic-iterative-alignment-and-generation-for-data-efficient-mathematicSecFeedde2026-08-25T11:46:34.002246+00:00DIAG: Diagnostic Iterative Alignment and Generation for Data-Efficient Mathematical Preference Distillationhttps://blog.schoergendorfer.com/post/spoc-sql-stage-wise-preference-optimization-for-controllable-text-to-sqlSecFeedde2026-08-25T11:46:33.971769+00:00SPOC-SQL: Stage-wise Preference Optimization for Controllable Text-to-SQLhttps://blog.schoergendorfer.com/post/delistbench-evaluating-search-enabled-llms-for-auditable-corporate-event-databasSecFeedde2026-08-25T11:46:33.941366+00:00DelistBench: Evaluating Search-Enabled LLMs for Auditable Corporate-Event Database Completionhttps://blog.schoergendorfer.com/post/beyond-factual-knowledge-benchmarking-and-learning-step-level-procedural-rule-reSecFeedde2026-08-25T11:46:33.911091+00:00Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Modelshttps://blog.schoergendorfer.com/post/a-source-grounded-framework-for-constructing-and-evaluating-progressive-multimodSecFeedde2026-08-25T11:46:33.877822+00:00A Source-Grounded Framework for Constructing and Evaluating Progressive Multimodal Diagnostic Dialogues from Clinical Case Reportshttps://blog.schoergendorfer.com/post/wnw-waxing-and-waning-kv-cache-for-long-form-speech-llmsSecFeedde2026-08-25T11:46:33.843821+00:00WnW: Waxing-and-Waning KV Cache for Long-Form Speech LLMshttps://blog.schoergendorfer.com/post/from-diagnosis-to-redesign-using-quantitative-ethnography-to-improve-multi-agentSecFeedde2026-08-25T11:46:33.786588+00:00From Diagnosis to Redesign: Using Quantitative Ethnography to Improve Multi-Agent LLM Reasoninghttps://blog.schoergendorfer.com/post/kernel-token-contradiction-a-fast-and-principled-approach-for-llm-claim-uncertaiSecFeedde2026-08-25T11:46:33.753998+00:00Kernel Token Contradiction: a Fast and Principled Approach for LLM Claim Uncertainty Quantificationhttps://blog.schoergendorfer.com/post/who-pays-more-for-safety-measuring-the-disparate-cost-of-safety-alignment-acrossSecFeedde2026-08-25T11:46:33.718858+00:00Who Pays More for Safety? Measuring the Disparate Cost of Safety Alignment across Languageshttps://blog.schoergendorfer.com/post/claim-level-confidence-calibration-for-reliable-decision-making-with-large-languSecFeedde2026-08-25T11:46:33.687642+00:00Claim-Level Confidence Calibration for Reliable Decision Making with Large Language Modelshttps://blog.schoergendorfer.com/post/gta-rag-graph-trajectory-augmented-reinforcement-learning-for-multi-turn-retrievSecFeedde2026-08-25T11:46:33.657062+00:00GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoninghttps://blog.schoergendorfer.com/post/from-exposure-to-expectation-frequency-surprisal-and-language-across-developmentSecFeedde2026-08-25T11:46:33.625882+00:00From Exposure to Expectation: Frequency, Surprisal, and Language Across Development in Spanishhttps://blog.schoergendorfer.com/post/figurative-justice-detecting-metaphors-in-hindi-judgements-with-qualitative-asseSecFeedde2026-08-25T11:46:33.596401+00:00Figurative Justice: Detecting metaphors in Hindi judgements with qualitative assessment and transformershttps://blog.schoergendorfer.com/post/aligned-alone-misaligned-together-forecasting-adversarial-capture-in-llm-agent-pSecFeedde2026-08-25T11:46:33.558882+00:00Aligned Alone, Misaligned Together: Forecasting Adversarial Capture in LLM Agent Populationshttps://blog.schoergendorfer.com/post/don-t-box-me-in-dynamic-cultural-adaptation-and-cognitive-tracking-for-social-unSecFeedde2026-08-25T11:46:33.520809+00:00Don' t Box Me In: Dynamic Cultural Adaptation and Cognitive Tracking for Social Understandinghttps://blog.schoergendorfer.com/post/schemagui-a-schema-driven-benchmark-for-controllable-gui-generation-evaluationSecFeedde2026-08-25T11:46:33.487710+00:00SchemaGUI: A Schema-Driven Benchmark for Controllable GUI Generation Evaluationhttps://blog.schoergendorfer.com/post/can-large-language-models-hyper-threadSecFeedde2026-08-25T11:31:32.006212+00:00Can Large Language Models "Hyper-Thread"?https://blog.schoergendorfer.com/post/context-aware-cluster-decoding-semantic-anchor-driven-coherence-in-dmllmsSecFeedde2026-08-25T11:31:31.977557+00:00Context-Aware Cluster Decoding: Semantic Anchor-Driven Coherence in dMLLMshttps://blog.schoergendorfer.com/post/when-not-to-imitate-boundary-aware-skill-memory-for-reliable-tool-use-llm-agentsSecFeedde2026-08-25T11:31:31.946130+00:00When Not to Imitate: Boundary-Aware Skill Memory for Reliable Tool-Use LLM Agentshttps://blog.schoergendorfer.com/post/mechanistic-interpretability-of-chain-of-thought-reasoning-via-sequential-activaSecFeedde2026-08-25T11:31:31.911170+00:00Mechanistic Interpretability of Chain-of-Thought Reasoning via Sequential Activation Patchinghttps://blog.schoergendorfer.com/post/semantics-or-structure-auditing-text-sensitivity-in-multimodal-time-series-forecSecFeedde2026-08-25T11:31:31.853566+00:00Semantics or Structure? Auditing Text Sensitivity in Multimodal Time-Series Forecastinghttps://blog.schoergendorfer.com/post/whitewashing-hate-smearing-harmless-content-annotator-style-rebuttal-attacks-onSecFeedde2026-08-25T11:31:31.765172+00:00Whitewashing Hate, Smearing Harmless Content: Annotator-Style Rebuttal Attacks on LLM-Based Moderationhttps://blog.schoergendorfer.com/post/grounded-normative-rule-generation-with-structured-searchSecFeedde2026-08-25T11:31:31.737763+00:00Grounded Normative Rule Generation with Structured Searchhttps://blog.schoergendorfer.com/post/dual-layer-agentic-memory-with-fast-write-routing-and-slow-consolidationSecFeedde2026-08-25T11:31:31.703372+00:00Dual-Layer Agentic Memory with Fast Write Routing and Slow Consolidationhttps://blog.schoergendorfer.com/post/how-agents-represent-humans-human-directed-stereotypes-in-an-open-agent-social-nSecFeedde2026-08-25T11:31:31.671464+00:00How Agents Represent Humans: Human-Directed Stereotypes in an Open Agent Social Networkhttps://blog.schoergendorfer.com/post/the-collaboration-tax-how-much-llm-multi-agent-systems-pay-to-coordinateSecFeedde2026-08-25T11:31:31.640056+00:00The Collaboration Tax: How Much LLM Multi-Agent Systems Pay to Coordinatehttps://blog.schoergendorfer.com/post/rag-collapse-llm-responses-collapse-when-retrieved-documents-are-self-authoredSecFeedde2026-08-25T11:31:31.584742+00:00RAG Collapse: LLM Responses Collapse When Retrieved Documents Are Self-Authoredhttps://blog.schoergendorfer.com/post/spine-branch-coordination-for-multi-agent-computer-useSecFeedde2026-08-25T11:31:31.555831+00:00Spine-Branch Coordination for Multi-agent Computer Usehttps://blog.schoergendorfer.com/post/align-unify-suppress-route-a-coherentist-view-of-transformer-computationSecFeedde2026-08-25T11:31:31.526730+00:00Align, Unify, Suppress, Route: A Coherentist View of Transformer Computationhttps://blog.schoergendorfer.com/post/machine-learning-and-digital-pragmatics-which-word-category-influences-emoji-useSecFeedde2026-08-25T11:31:31.495979+00:00Machine learning and digital pragmatics: Which word category influences emoji use most?https://blog.schoergendorfer.com/post/tosca-leveraging-hierarchical-reinforcement-learning-on-temporal-and-strategic-aSecFeedde2026-08-25T11:31:31.464453+00:00ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agentshttps://blog.schoergendorfer.com/post/modeling-claim-dependency-structure-for-patent-litigation-prediction-with-graphSecFeedde2026-08-25T11:31:31.432880+00:00Modeling Claim Dependency Structure for Patent Litigation Prediction with Graph Attention Networkshttps://blog.schoergendorfer.com/post/banglaveilguard-cross-script-safety-benchmarking-and-lightweight-guardrails-forSecFeedde2026-08-25T11:16:56.915439+00:00BanglaVeilGuard: Cross-Script Safety Benchmarking and Lightweight Guardrails for Bangla Large Language Modelshttps://blog.schoergendorfer.com/post/the-chase-is-the-curriculum-the-capture-anchors-the-credit-pursuit-evasion-selfSecFeedde2026-08-25T11:16:56.885420+00:00The Chase Is the Curriculum, the Capture Anchors the Credit: Pursuit-Evasion Self-Play for Zero-Data LLM Reasoninghttps://blog.schoergendorfer.com/post/puma-a-polish-benchmark-for-culturally-grounded-multimodal-understandingSecFeedde2026-08-25T11:16:56.856653+00:00PUMA: A Polish Benchmark for Culturally Grounded Multimodal Understandinghttps://blog.schoergendorfer.com/post/gui-primitives-diagnosing-spatial-reasoning-failures-in-vision-language-gui-grouSecFeedde2026-08-25T11:16:56.824224+00:00GUI-Primitives: Diagnosing Spatial Reasoning Failures in Vision-Language GUI Groundinghttps://blog.schoergendorfer.com/post/do-large-language-models-perform-well-on-comprehending-poetic-logic-in-modern-chSecFeedde2026-08-25T11:16:56.793724+00:00Do Large Language Models Perform Well on 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Fusion-Controller Parametric Retrieval-Augmented Generation for Stable Multi-Passage LoRA Injectionhttps://blog.schoergendorfer.com/post/mitigating-database-leakage-in-rag-systems-with-keyword-grounded-fact-substitutiSecFeedde2026-08-25T11:16:56.627833+00:00Mitigating Database Leakage in RAG Systems with Keyword-Grounded Fact Substitutionhttps://blog.schoergendorfer.com/post/can-llms-truly-forget-revealing-unlearning-gaps-through-adversarial-evaluationSecFeedde2026-08-25T11:16:56.601072+00:00Can LLMs Truly Forget? Revealing Unlearning Gaps Through Adversarial Evaluationhttps://blog.schoergendorfer.com/post/evidence-state-reliability-under-controlled-degradation-parser-validity-divergenSecFeedde2026-08-25T11:16:56.571786+00:00Evidence-State Reliability Under Controlled Degradation: Parser-Validity Divergence in a Multi-Stage LLM Pipelinehttps://blog.schoergendorfer.com/post/towards-truly-unsupervised-evaluation-of-feature-selection-3SecFeedde2026-08-25T11:16:56.543519+00:00Towards Truly Unsupervised Evaluation of Feature Selectionhttps://blog.schoergendorfer.com/post/backdfl-a-unified-benchmark-for-backdoor-attacks-and-defenses-in-decentralized-f-2SecFeedde2026-08-25T11:16:56.512770+00:00BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learninghttps://blog.schoergendorfer.com/post/in-cell-learning-deployed-language-models-can-learn-new-knowledge-without-changiSecFeedde2026-08-25T11:16:56.485113+00:00In-Cell Learning: Deployed Language Models Can Learn New Knowledge Without Changing a Single Stored Bithttps://blog.schoergendorfer.com/post/atom-learning-model-alm-how-a-real-classroom-got-tokenised-2SecFeedde2026-08-25T11:16:56.452644+00:00Atom Learning Model (ALM): how a real classroom got tokenisedhttps://blog.schoergendorfer.com/post/at-vit-area-targeted-multi-view-vision-transformer-with-cross-attention-and-mult-2SecFeedde2026-08-25T11:16:56.424755+00:00AT-ViT: Area-Targeted Multi-View Vision Transformer with Cross-Attention and Multi-Scale Patching for Plant Trait Recognition in Herbarium Imageshttps://blog.schoergendorfer.com/post/task-coevolve-efficient-harness-optimization-via-adaptive-validation-task-select-2SecFeedde2026-08-25T11:16:56.393034+00:00Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selectionhttps://blog.schoergendorfer.com/post/milegpo-milestone-inference-with-local-evidence-for-graph-based-policy-optimizat-2SecFeedde2026-08-25T11:16:56.362772+00:00MileGPO: Milestone Inference with Local Evidence for Graph-Based Policy Optimization of Long-Horizon LLM Agentshttps://blog.schoergendorfer.com/post/question-guided-evidence-acquisition-for-multimodal-visual-question-answering-2SecFeedde2026-08-25T11:01:49.924124+00:00Question-Guided Evidence Acquisition for Multimodal Visual Question Answeringhttps://blog.schoergendorfer.com/post/learning-to-beat-phenotype-guided-latent-flow-with-regional-motion-priors-for-bi-2SecFeedde2026-08-25T11:01:49.892078+00:00Learning to Beat: Phenotype-Guided Latent Flow with Regional Motion Priors for Biventricular Motion Synthesishttps://blog.schoergendorfer.com/post/vgi-bench-probing-visual-intelligence-in-video-generation-models-2SecFeedde2026-08-25T11:01:49.856030+00:00VGI-Bench: Probing Visual Intelligence in Video Generation Modelshttps://blog.schoergendorfer.com/post/active-spiking-perception-the-membrane-potential-as-a-belief-state-for-anytime-3-2SecFeedde2026-08-25T11:01:49.822375+00:00Active Spiking Perception: The Membrane Potential as 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RLhttps://blog.schoergendorfer.com/post/aslema-at-nadi-2026-data-augmentation-for-intent-recognition-and-slot-fillingSecFeedde2026-08-25T11:01:49.650053+00:00Aslema at NADI 2026: Data Augmentation for Intent Recognition and Slot Fillinghttps://blog.schoergendorfer.com/post/formal-verification-of-romanovs-triplet-logic-a-verified-filter-for-sliding-wind-2SecFeedde2026-08-25T11:01:49.616001+00:00Formal Verification of Romanov's Triplet Logic: A Verified Filter for Sliding-window 3-CNF with Application to Structured Formulashttps://blog.schoergendorfer.com/post/gigabrain-wbc-05-a-behavior-world-model-for-robust-whole-body-control-with-envir-2SecFeedde2026-08-25T11:01:49.583659+00:00GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interactionhttps://blog.schoergendorfer.com/post/coal-rag-a-complexity-aware-legal-retrieval-augmented-generation-method-2SecFeedde2026-08-25T11:01:49.552879+00:00CoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented 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LLM Commercehttps://blog.schoergendorfer.com/post/patientact-theory-grounded-mental-health-client-simulation-2SecFeedde2026-08-25T11:01:49.362106+00:00PatientAct: Theory-Grounded Mental Health Client Simulationhttps://blog.schoergendorfer.com/post/withholding-the-completing-chunk-exact-release-boundary-equivalence-for-productiSecFeedde2026-08-25T11:01:49.324091+00:00Withholding the Completing Chunk: Exact Release-Boundary Equivalence for Production Streaming Guardrailshttps://blog.schoergendorfer.com/post/timeroute-time-aware-modality-routing-and-diffusion-for-multi-modal-recommendati-2SecFeedde2026-08-25T11:01:49.290680+00:00TimeRoute: Time-Aware Modality Routing and Diffusion for Multi-Modal Recommendationhttps://blog.schoergendorfer.com/post/population-scalable-multi-agent-world-modeling-3SecFeedde2026-08-25T11:01:49.257951+00:00Population-Scalable Multi-Agent World Modelinghttps://blog.schoergendorfer.com/post/hidden-language-consistency-phenomena-in-reasoning-llms-2SecFeedde2026-08-25T10:46:36.341222+00:00Hidden Language Consistency Phenomena in Reasoning LLMshttps://blog.schoergendorfer.com/post/answer-first-reason-later-when-commitment-order-costs-accuracy-in-diffusion-langSecFeedde2026-08-25T10:46:36.309609+00:00Answer First, Reason Later: When Commitment Order Costs Accuracy in Diffusion Language Modelshttps://blog.schoergendorfer.com/post/breadcrumbing-search-agents-2SecFeedde2026-08-25T10:46:36.276157+00:00Breadcrumbing Search Agentshttps://blog.schoergendorfer.com/post/svi-dag-a-structured-variational-inference-approach-to-bayesian-causal-discovery-2SecFeedde2026-08-25T10:46:36.239222+00:00SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discoveryhttps://blog.schoergendorfer.com/post/ai-alignment-and-fiduciary-obligation-2SecFeedde2026-08-25T10:46:36.205858+00:00AI Alignment and Fiduciary Obligationhttps://blog.schoergendorfer.com/post/your-agentic-llms-secretly-encode-indirect-prompt-injection-exposure-in-hidden-sSecFeedde2026-08-25T10:46:36.178831+00:00Your Agentic LLMs Secretly Encode Indirect Prompt-Injection Exposure in Hidden Stateshttps://blog.schoergendorfer.com/post/measuring-in-context-algorithmic-reasoning-in-language-models-against-an-exact-b-2SecFeedde2026-08-25T10:46:36.148413+00:00Measuring in-context algorithmic reasoning in language models against an exact Bayes-optimal referencehttps://blog.schoergendorfer.com/post/divisive-normalization-shapes-low-rank-slow-manifolds-for-continuous-working-memSecFeedde2026-08-25T10:46:36.114293+00:00Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memoryhttps://blog.schoergendorfer.com/post/callscreenbench-benchmarking-small-language-models-as-phone-secretariesSecFeedde2026-08-25T10:46:36.077705+00:00CallScreenBench: Benchmarking Small Language Models as Phone Secretarieshttps://blog.schoergendorfer.com/post/latency-tolerant-cloud-edge-collaborative-vision-language-action-models-via-emerSecFeedde2026-08-25T10:46:36.040358+00:00Latency-Tolerant Cloud-Edge Collaborative Vision-Language-Action Models via Emergent Representational Specializationhttps://blog.schoergendorfer.com/post/what-transfers-from-text-to-vision-capability-scaling-laws-and-transfer-dynamics-2SecFeedde2026-08-25T10:46:36.011837+00:00What Transfers from Text to Vision? 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Logistic Regression and Fine-Tuned DistilBERThttps://blog.schoergendorfer.com/post/falsification-based-verification-of-llm-generated-optimization-models-sound-test-2SecFeedde2026-08-25T10:46:35.745485+00:00Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limitshttps://blog.schoergendorfer.com/post/silent-alarm-a-j-space-protocol-for-comparing-danger-recognition-across-models-a-2SecFeedde2026-08-25T10:31:59.514646+00:00Silent Alarm: A J-Space Protocol for Comparing Danger Recognition Across Models and Quantization Levelshttps://blog.schoergendorfer.com/post/grc-probnet-uncertainty-aware-feature-extraction-for-cardiovascular-disease-clas-2SecFeedde2026-08-25T10:31:59.452291+00:00GRC-ProbNet: Uncertainty-aware Feature Extraction for Cardiovascular Disease Classificationhttps://blog.schoergendorfer.com/post/diallm-an-investigation-into-the-robustness-generation-gap-in-english-dialect-ad-2SecFeedde2026-08-25T10:31:59.425262+00:00DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptationhttps://blog.schoergendorfer.com/post/post-generation-curation-of-synthetic-images-via-homogeneous-heterogeneous-split-2SecFeedde2026-08-25T10:31:59.399742+00:00Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splittinghttps://blog.schoergendorfer.com/post/guided-action-flow-q-guided-inference-for-flow-matching-vision-language-action-p-2SecFeedde2026-08-25T10:31:59.368368+00:00Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policieshttps://blog.schoergendorfer.com/post/compositional-dynamics-in-learning-and-mechanicsSecFeedde2026-08-25T10:31:59.342068+00:00Compositional Dynamics in Learning and Mechanicshttps://blog.schoergendorfer.com/post/group-equivariant-poincare-convolutional-networksSecFeedde2026-08-25T10:31:59.316767+00:00Group-Equivariant Poincar\'e Convolutional Networkshttps://blog.schoergendorfer.com/post/what-llms-explain-is-not-what-they-believe-evaluating-explanation-sufficiency-unSecFeedde2026-08-25T10:31:59.291606+00:00What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefshttps://blog.schoergendorfer.com/post/event-conditioned-diagnostics-of-kinematic-contact-and-object-permanence-structuSecFeedde2026-08-25T10:31:59.260827+00:00Event-Conditioned Diagnostics of Kinematic, Contact, and Object-Permanence Structure in Passive Object-State World Modelshttps://blog.schoergendorfer.com/post/rarm-confidence-gated-progress-reward-modeling-for-rl-in-manipulationSecFeedde2026-08-25T10:31:59.232757+00:00RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulationhttps://blog.schoergendorfer.com/post/one-polluted-page-is-enough-evaluating-web-content-pollution-in-llm-recommendersSecFeedde2026-08-25T10:31:59.143556+00:00One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommendershttps://blog.schoergendorfer.com/post/chain-of-operators-an-inference-time-harness-for-in-context-operator-learningSecFeedde2026-08-25T10:31:59.110909+00:00Chain of Operators: An Inference-Time Harness for In-Context Operator Learninghttps://blog.schoergendorfer.com/post/trace-a-unified-rollout-budget-allocation-framework-for-efficient-agentic-reinfoSecFeedde2026-08-25T10:31:59.079236+00:00TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learninghttps://blog.schoergendorfer.com/post/toward-secure-llm-agents-threat-surfaces-attacks-defenses-and-evaluationSecFeedde2026-08-25T10:31:59.048339+00:00Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluationhttps://blog.schoergendorfer.com/post/socraticpo-policy-optimization-via-interactive-guidanceSecFeedde2026-08-25T10:31:59.014341+00:00SocraticPO: Policy Optimization via Interactive Guidancehttps://blog.schoergendorfer.com/post/e2llm-towards-efficient-llm-serving-in-heterogeneous-edgefog-environments-2SecFeedde2026-08-25T10:31:58.953330+00:00E2LLM: Towards Efficient LLM Serving in Heterogeneous Edge/Fog Environmentshttps://blog.schoergendorfer.com/post/soft-nbce-entropy-weighted-chunk-fusion-for-long-contextSecFeedde2026-08-25T10:16:40.911624+00:00Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Contexthttps://blog.schoergendorfer.com/post/drift-joint-channel-estimation-and-prediction-towards-pilotless-6g-non-terrestriSecFeedde2026-08-25T10:16:40.882243+00:00DRIFT: Joint Channel Estimation and Prediction Towards Pilotless 6G Non-Terrestrial Networkshttps://blog.schoergendorfer.com/post/birdnet-mining-and-encoding-boolean-implication-knowledge-graphs-as-interpretablSecFeedde2026-08-25T10:16:40.848171+00:00BIRDNet: Mining and Encoding Boolean Implication Knowledge Graphs as Interpretable Deep Neural Networkshttps://blog.schoergendorfer.com/post/how-should-llms-consume-high-quality-data-optimal-data-scheduling-via-quality-awSecFeedde2026-08-25T10:16:40.811222+00:00How Should LLMs Consume High-Quality Data? 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Emergent Deception and Trust in a Multi-Agent NYC Simulationhttps://blog.schoergendorfer.com/post/large-language-models-generate-harmful-responses-using-a-distinct-mechanism-shar-2SecFeedde2026-08-25T10:16:40.543326+00:00Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Typeshttps://blog.schoergendorfer.com/post/beyond-rgb-benchmarking-and-enhancing-mllms-for-hyperspectral-image-understandinSecFeedde2026-08-25T10:16:40.513059+00:00Beyond RGB: Benchmarking and Enhancing MLLMs for Hyperspectral Image Understanding via Training-Free Reasoning Frameworkhttps://blog.schoergendorfer.com/post/verbalizing-llms-assumptions-to-explain-and-control-sycophancySecFeedde2026-08-25T10:16:40.424089+00:00Verbalizing LLMs' assumptions to explain and control sycophancyhttps://blog.schoergendorfer.com/post/robust-multi-agent-reinforcement-learning-for-small-uas-separation-assurance-undSecFeedde2026-08-25T10:16:40.372123+00:00Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofinghttps://blog.schoergendorfer.com/post/when-should-a-robot-think-resource-aware-reasoning-via-reinforcement-learning-foSecFeedde2026-08-25T10:16:40.343362+00:00When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Makinghttps://blog.schoergendorfer.com/post/visioncoach-reinforcing-grounded-video-reasoning-via-visual-perception-promptingSecFeedde2026-08-25T10:01:41.447447+00:00VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Promptinghttps://blog.schoergendorfer.com/post/semantic-substrate-dynamics-theory-an-operator-theoretic-framework-for-geometricSecFeedde2026-08-25T10:01:41.417243+00:00Semantic Substrate Dynamics Theory: An Operator-Theoretic Framework for Geometric Semantic Drifthttps://blog.schoergendorfer.com/post/vibe-coding-on-trial-operating-characteristics-of-unanimous-llm-juriesSecFeedde2026-08-25T10:01:41.383615+00:00Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Jurieshttps://blog.schoergendorfer.com/post/learning-with-boolean-threshold-functionsSecFeedde2026-08-25T10:01:41.349321+00:00Learning with Boolean threshold functionshttps://blog.schoergendorfer.com/post/continual-uncertainty-learning-for-robust-control-of-nonlinear-systems-with-multSecFeedde2026-08-25T10:01:41.315247+00:00Continual Uncertainty Learning for Robust Control of Nonlinear Systems with Multiple Heterogeneous Uncertaintieshttps://blog.schoergendorfer.com/post/which-algorithms-can-graph-neural-networks-learnSecFeedde2026-08-25T10:01:41.247572+00:00Which Algorithms Can Graph Neural Networks Learn?https://blog.schoergendorfer.com/post/ischeduler-reinforcement-learning-driven-continual-optimization-for-large-scaleSecFeedde2026-08-25T10:01:41.212087+00:00iScheduler: Reinforcement Learning-Driven Continual Optimization for Large-Scale Resource Investment Problemshttps://blog.schoergendorfer.com/post/backdoor-sentinel-detecting-and-detoxifying-backdoors-in-diffusion-models-via-teSecFeedde2026-08-25T10:01:41.098172+00:00Backdoor Sentinel: Detecting and Detoxifying Backdoors in Diffusion Models via Temporal Noise Consistencyhttps://blog.schoergendorfer.com/post/dynamic-cogeneration-of-bug-reproduction-test-in-agentic-program-repairSecFeedde2026-08-25T10:01:41.008195+00:00Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repairhttps://blog.schoergendorfer.com/post/peafowl-perception-enhanced-multi-view-vision-language-action-for-bimanual-manipSecFeedde2026-08-25T10:01:40.973789+00:00PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulationhttps://blog.schoergendorfer.com/post/benchmarking-document-parsers-on-mathematical-formula-extraction-from-pdfsSecFeedde2026-08-25T10:01:40.889671+00:00Benchmarking Document Parsers on Mathematical Formula Extraction from PDFshttps://blog.schoergendorfer.com/post/diagnosing-capability-preservation-and-task-sensitivity-in-memory-augmented-docuSecFeedde2026-08-25T10:01:40.859505+00:00Diagnosing Capability Preservation and Task Sensitivity in Memory Augmented Document Classifiershttps://blog.schoergendorfer.com/post/mpcformer-a-physics-informed-data-driven-approach-for-explainable-socially-awareSecFeedde2026-08-25T09:46:51.664527+00:00MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous drivinghttps://blog.schoergendorfer.com/post/multi-context-fusion-transformer-for-pedestrian-crossing-intention-prediction-inSecFeedde2026-08-25T09:46:51.633881+00:00Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environmentshttps://blog.schoergendorfer.com/post/moclip-a-foundation-model-for-large-scale-nanophotonic-inverse-designSecFeedde2026-08-25T09:46:51.607086+00:00MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Designhttps://blog.schoergendorfer.com/post/hifinet-hierarchical-fault-identification-in-wireless-sensor-networks-via-edge-bSecFeedde2026-08-25T09:46:51.581643+00:00HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregationhttps://blog.schoergendorfer.com/post/radial-compensation-the-inverse-base-distribution-problem-for-chart-based-generaSecFeedde2026-08-25T09:46:51.549249+00:00Radial Compensation: The Inverse Base-Distribution Problem for Chart-Based Generative Models on Riemannian Manifoldshttps://blog.schoergendorfer.com/post/one-request-multiple-experts-llm-orchestrates-domain-specific-models-via-adaptivSecFeedde2026-08-25T09:46:51.514628+00:00One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routinghttps://blog.schoergendorfer.com/post/a-new-type-of-adversarial-examplesSecFeedde2026-08-25T09:46:51.483687+00:00A New Type of Adversarial Exampleshttps://blog.schoergendorfer.com/post/mitigating-sample-level-imbalance-via-probabilistic-separation-for-adaptive-multSecFeedde2026-08-25T09:46:51.454600+00:00Mitigating Sample-Level Imbalance via Probabilistic Separation for Adaptive Multimodal Fusionhttps://blog.schoergendorfer.com/post/llm-specific-utility-for-retrieval-augmented-generationSecFeedde2026-08-25T09:46:51.426824+00:00LLM-Specific Utility for Retrieval-Augmented Generationhttps://blog.schoergendorfer.com/post/graphmed-lt-patient-specific-graph-memory-with-latent-clinical-thought-refinemenSecFeedde2026-08-25T09:46:51.399410+00:00GraphMed-LT: Patient-Specific Graph Memory with Latent Clinical Thought Refinement for Multi-Turn Medical Conversationshttps://blog.schoergendorfer.com/post/slogic-subgraph-informed-logical-rule-learning-for-knowledge-graph-completionSecFeedde2026-08-25T09:46:51.371008+00:00SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completionhttps://blog.schoergendorfer.com/post/rstgcn-railway-centric-spatio-temporal-graph-convolutional-network-for-train-delSecFeedde2026-08-25T09:46:51.340362+00:00RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Predictionhttps://blog.schoergendorfer.com/post/hivis-hiding-visual-tokens-from-the-drafter-for-speculative-decoding-in-vision-lSecFeedde2026-08-25T09:46:51.309755+00:00HiViS: Hiding Visual Tokens from the Drafter for Speculative Decoding in Vision-Language Modelshttps://blog.schoergendorfer.com/post/extrinsplat-decoupling-geometry-and-semantics-for-open-vocabulary-understandingSecFeedde2026-08-25T09:46:51.284727+00:00ExtrinSplat: Decoupling Geometry and Semantics for Open-Vocabulary Understanding in 3D Gaussian Splattinghttps://blog.schoergendorfer.com/post/an-information-flow-perspective-on-explainability-requirements-specification-andSecFeedde2026-08-25T09:46:51.256706+00:00An Information-Flow Perspective on Explainability Requirements: Specification and Verificationhttps://blog.schoergendorfer.com/post/entity-representation-learning-through-onsite-offsite-graph-for-pinterest-adsSecFeedde2026-08-25T09:46:51.229559+00:00Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Adshttps://blog.schoergendorfer.com/post/from-isolation-to-alignment-unified-lora-for-efficient-multi-task-learningSecFeedde2026-08-25T09:46:51.200752+00:00From Isolation to Alignment: Unified LoRA for Efficient Multi-Task Learninghttps://blog.schoergendorfer.com/post/televal-a-benchmark-designed-for-spoken-language-models-in-chinese-interactive-sSecFeedde2026-08-25T09:46:51.172076+00:00TELEVAL: A Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarioshttps://blog.schoergendorfer.com/post/text-adbench-text-anomaly-detection-benchmark-based-on-llm-embeddingsSecFeedde2026-08-25T09:46:51.116637+00:00Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddingshttps://blog.schoergendorfer.com/post/mission-aligned-learning-informed-control-of-autonomous-systems-formulation-andSecFeedde2026-08-25T09:31:50.108831+00:00Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and 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with Reinforcement Fine-Tuned LLMshttps://blog.schoergendorfer.com/post/effects-of-theory-of-mind-and-prosocial-beliefs-on-steering-human-aligned-behaviSecFeedde2026-08-25T09:31:49.956431+00:00Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Gameshttps://blog.schoergendorfer.com/post/colora-efficient-fine-tuning-for-convolutional-models-with-a-study-case-on-optic-2SecFeedde2026-08-25T09:31:49.898793+00:00COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classificationhttps://blog.schoergendorfer.com/post/unleashing-the-power-of-llms-in-dense-retrieval-with-query-likelihood-modelingSecFeedde2026-08-25T09:31:49.843154+00:00Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modelinghttps://blog.schoergendorfer.com/post/ai-university-an-llm-powered-learning-assistant-for-engineering-a-finite-elementSecFeedde2026-08-25T09:31:49.817572+00:00AI University: An 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forecastinghttps://blog.schoergendorfer.com/post/revisiting-multi-permutation-equivariance-through-the-lens-of-irreducible-repres-2SecFeedde2026-08-25T09:31:49.621127+00:00Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representationshttps://blog.schoergendorfer.com/post/lsem2vec-a-simple-yet-effective-two-stage-approach-for-source-code-embedding-2SecFeedde2026-08-25T09:31:49.590703+00:00LSem2Vec: A Simple yet Effective Two-Stage Approach for Source Code Embeddinghttps://blog.schoergendorfer.com/post/image-conditional-diffusion-transformer-for-underwater-image-enhancementSecFeedde2026-08-25T09:17:09.811161+00:00Image-Conditional Diffusion Transformer for Underwater Image Enhancementhttps://blog.schoergendorfer.com/post/evaluating-the-efficacy-of-llms-to-emulate-realistic-human-personalitiesSecFeedde2026-08-25T09:17:09.783855+00:00Evaluating the Efficacy of LLMs to Emulate Realistic Human Personalitieshttps://blog.schoergendorfer.com/post/towards-a-resource-for-multilingual-lexicons-an-mt-assisted-and-human-in-the-looSecFeedde2026-08-25T09:17:09.753874+00:00Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotationhttps://blog.schoergendorfer.com/post/why-we-need-an-ai-resilient-society-profiling-large-language-modelsSecFeedde2026-08-25T09:17:09.695617+00:00Why we need an AI-resilient society- Profiling Large Language Modelshttps://blog.schoergendorfer.com/post/foretime-vla-causal-future-token-distillation-from-a-world-action-model-for-conv-2SecFeedde2026-08-25T09:17:09.643502+00:00ForeTime-VLA: Causal Future-Token Distillation from a World Action Model for Conveyor-Belt Manipulationhttps://blog.schoergendorfer.com/post/pandoras-ai-model-routing-box-efficient-allocation-with-costly-value-estimation-2SecFeedde2026-08-25T09:17:09.616155+00:00Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimationhttps://blog.schoergendorfer.com/post/what-you-cant-see-is-what-you-learn-restricted-evidence-visibility-favors-compos-2SecFeedde2026-08-25T09:17:09.589483+00:00What You Can't See Is What You Learn: Restricted Evidence Visibility Favors Compositional Generalization in Shared-Genome Language-Model Societieshttps://blog.schoergendorfer.com/post/autoresearch-insight-in-hallucination-out-2SecFeedde2026-08-25T09:17:09.529230+00:00AutoResearch: Insight In, Hallucination Outhttps://blog.schoergendorfer.com/post/skilleffect-checked-lowering-for-memory-bounded-agent-tools-2SecFeedde2026-08-25T09:17:09.500237+00:00SkillEffect: Checked Lowering for Memory-Bounded Agent Toolshttps://blog.schoergendorfer.com/post/harecap-habitual-action-grounding-for-recursive-large-language-model-agents-2SecFeedde2026-08-25T09:17:09.469512+00:00HaReCAP: Habitual-action Grounding for Recursive Large Language Model Agentshttps://blog.schoergendorfer.com/post/when-entropy-is-not-enough-reclaiming-lost-semantics-in-llm-output-length-predic-2SecFeedde2026-08-25T09:17:09.438665+00:00When Entropy Is Not Enough: Reclaiming Lost Semantics in LLM Output Length Predictionhttps://blog.schoergendorfer.com/post/framework-for-grounding-healthcare-llms-in-a-causal-knowledge-graph-a-cardiovascSecFeedde2026-08-25T09:17:09.345395+00:00Framework for Grounding Healthcare LLMs in a Causal Knowledge Graph: A Cardiovascular Example Pilothttps://blog.schoergendorfer.com/post/scienceflow-a-long-horizon-agent-for-ml-research-scientific-discovery-and-beyond-2SecFeedde2026-08-25T09:17:09.314176+00:00ScienceFlow: A long-horizon agent for ML research, scientific discovery and beyondhttps://blog.schoergendorfer.com/post/jagged-judges-epistemic-stability-under-perturbation-pressure-and-persistenceSecFeedde2026-08-25T09:17:09.276320+00:00Jagged Judges: Epistemic Stability Under Perturbation, Pressure, and Persistencehttps://blog.schoergendorfer.com/post/infrabench-evaluating-infrastructure-agents-across-layers-lifecycle-and-risk-2SecFeedde2026-08-25T09:17:09.246599+00:00InfraBench: Evaluating Infrastructure Agents Across Layers, Lifecycle, and Riskhttps://blog.schoergendorfer.com/post/reasoning-shortcuts-and-value-symmetries-what-symmetry-permits-architecture-real-2SecFeedde2026-08-25T09:01:49.726311+00:00Reasoning Shortcuts and Value Symmetries: What Symmetry Permits, Architecture Realizes, and Optimization Selectshttps://blog.schoergendorfer.com/post/hierarchical-compositionality-for-an-assistive-ai-agent-2SecFeedde2026-08-25T09:01:49.698699+00:00Hierarchical Compositionality for An Assistive AI Agenthttps://blog.schoergendorfer.com/post/the-greatness-of-science-cannot-be-planned-agentic-auto-research-is-fuzz-testingSecFeedde2026-08-25T09:01:49.672488+00:00The Greatness of Science Cannot Be Planned: Agentic Auto-Research is Fuzz Testinghttps://blog.schoergendorfer.com/post/time-present-and-time-past-benchmarking-large-language-models-on-temporally-evol-2SecFeedde2026-08-25T09:01:49.649704+00:00Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understandinghttps://blog.schoergendorfer.com/post/improving-auto-design-of-neural-pde-solvers-with-a-domain-specific-language-2SecFeedde2026-08-25T09:01:49.603835+00:00Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Languagehttps://blog.schoergendorfer.com/post/nova-an-end-to-end-mlir-compiler-for-deep-learning-2SecFeedde2026-08-25T09:01:49.580526+00:00Nova: An End-to-End MLIR Compiler for Deep Learninghttps://blog.schoergendorfer.com/post/a-cross-architecture-audit-of-direction-based-inference-time-defences-in-visionSecFeedde2026-08-25T09:01:49.558916+00:00A Cross-Architecture Audit of Direction-Based Inference-Time Defences in Vision-Language Modelshttps://blog.schoergendorfer.com/post/crossing-the-margin-cliff-toward-relearn-robust-llm-unlearning-via-margin-calibrSecFeedde2026-08-25T09:01:49.538918+00:00Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibrationhttps://blog.schoergendorfer.com/post/rsmem-knowledge-enhanced-memory-evolution-for-remote-sensing-agents-with-systema-2SecFeedde2026-08-25T09:01:49.514173+00:00RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluationhttps://blog.schoergendorfer.com/post/telco-gaia-bilingual-benchmark-for-agents-in-telecom-domain-2SecFeedde2026-08-25T09:01:49.490357+00:00Telco-GAIA: Bilingual Benchmark for Agents in Telecom Domainhttps://blog.schoergendorfer.com/post/cachespec-finding-the-sweet-spot-for-small-models-in-large-language-modelsSecFeedde2026-08-25T09:01:49.431913+00:00CacheSpec: Finding the Sweet Spot for Small Models in Large Language Modelshttps://blog.schoergendorfer.com/post/evidence-aware-mapreduce-for-forkable-compute-2SecFeedde2026-08-25T09:01:49.376536+00:00Evidence-Aware MapReduce for Forkable Computehttps://blog.schoergendorfer.com/post/polyuquest-verifiable-structure-aware-web-rag-over-heterogeneous-graphs-2SecFeedde2026-08-25T09:01:49.345455+00:00PolyUQuest: Verifiable Structure-Aware Web RAG over Heterogeneous Graphshttps://blog.schoergendorfer.com/post/the-clinicians-veto-navigating-trust-liability-and-uncertainty-in-autonomous-aiSecFeedde2026-08-25T09:01:49.295750+00:00The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribinghttps://blog.schoergendorfer.com/post/lagrange-an-open-vocabulary-energy-based-sparse-framework-for-generalized-end-toSecFeedde2026-08-25T09:01:49.267694+00:00Lagrange: An Open-Vocabulary, Energy-Based Sparse Framework for Generalized End-to-End Drivinghttps://blog.schoergendorfer.com/post/moco-ais-a-contrastive-learning-framework-for-similarity-computation-of-vessel-tSecFeedde2026-08-25T09:01:49.233792+00:00MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectorieshttps://blog.schoergendorfer.com/post/finacumen-financial-multimodal-reasoning-via-self-evolving-experience-memory-harSecFeedde2026-08-25T08:46:37.582831+00:00FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harnesshttps://blog.schoergendorfer.com/post/incumbent-advantage-brand-bias-and-cognitive-manipulation-dynamics-in-llm-recommSecFeedde2026-08-25T08:46:37.556456+00:00Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systemshttps://blog.schoergendorfer.com/post/self-evolving-scientific-agent-discovers-generalizable-physically-reasoned-fluidSecFeedde2026-08-25T08:46:37.490238+00:00Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Controlhttps://blog.schoergendorfer.com/post/how-small-can-you-go-lora-fine-tuning-270m-8b-models-for-merchant-information-exSecFeedde2026-08-25T08:46:37.460661+00:00How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactionshttps://blog.schoergendorfer.com/post/zero-knowledge-verification-for-frontier-ai-training-is-possibleSecFeedde2026-08-25T08:46:37.436301+00:00Zero knowledge verification for frontier AI training is possiblehttps://blog.schoergendorfer.com/post/expected-value-alignment-for-generative-reward-modeling-in-formal-mathematics-veSecFeedde2026-08-25T08:46:37.402730+00:00Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verificationhttps://blog.schoergendorfer.com/post/mindhelper-closed-loop-embodied-mental-state-reasoning-for-precision-interventioSecFeedde2026-08-25T08:46:37.369289+00:00MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Interventionhttps://blog.schoergendorfer.com/post/latent-reward-steering-an-adaptive-inference-time-framework-that-implicitly-prom-2SecFeedde2026-08-25T08:46:37.335991+00:00Latent Reward Steering: An Adaptive 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Optimizationhttps://blog.schoergendorfer.com/post/cognifold-always-on-proactive-memory-via-cognitive-folding-2SecFeedde2026-08-25T08:46:37.185320+00:00CogniFold: Always-On Proactive Memory via Cognitive Foldinghttps://blog.schoergendorfer.com/post/finstar-towards-financial-reasoning-with-time-series-reasoning-modelsSecFeedde2026-08-25T08:46:37.132580+00:00FinSTaR: Towards Financial Reasoning with Time Series Reasoning Modelshttps://blog.schoergendorfer.com/post/revisiting-the-effectiveness-of-llm-pruning-for-test-time-scalingSecFeedde2026-08-25T08:46:37.110155+00:00Revisiting the Effectiveness of LLM Pruning for Test-Time Scalinghttps://blog.schoergendorfer.com/post/maven-t-reinforced-heterogeneous-distillation-for-real-time-multi-agent-trajectoSecFeedde2026-08-25T08:46:37.084038+00:00MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Predictionhttps://blog.schoergendorfer.com/post/activation-steering-for-aligned-open-ended-generation-without-sacrificing-cohereSecFeedde2026-08-25T08:31:27.504664+00:00Activation Steering for Aligned Open-ended Generation without Sacrificing Coherencehttps://blog.schoergendorfer.com/post/atp-bench-towards-agentic-tool-planning-for-mllm-interleaved-generationSecFeedde2026-08-25T08:31:27.446404+00:00ATP-Bench: Towards Agentic Tool Planning for MLLM Interleaved Generationhttps://blog.schoergendorfer.com/post/reinforcing-the-worlds-edge-a-continual-learning-problem-in-the-multi-agent-worlSecFeedde2026-08-25T08:31:27.416227+00:00Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundaryhttps://blog.schoergendorfer.com/post/skillnet-create-evaluate-and-connect-ai-skills-2SecFeedde2026-08-25T08:31:27.388053+00:00SkillNet: Create, Evaluate, and Connect AI Skillshttps://blog.schoergendorfer.com/post/training-proactive-and-personalized-llm-agentsSecFeedde2026-08-25T08:31:27.340156+00:00Training Proactive and Personalized LLM Agentshttps://blog.schoergendorfer.com/post/slidegen-collaborative-multimodal-agents-for-scientific-slide-generationSecFeedde2026-08-25T08:31:27.317724+00:00SlideGen: Collaborative Multimodal Agents for Scientific Slide Generationhttps://blog.schoergendorfer.com/post/adar-a-framework-for-equipping-llms-with-adaptive-reasoningSecFeedde2026-08-25T08:31:27.294810+00:00AdaR: A Framework for Equipping LLMs with Adaptive Reasoninghttps://blog.schoergendorfer.com/post/macd-multi-agent-clinical-diagnosis-with-self-learned-knowledge-for-llmSecFeedde2026-08-25T08:31:27.267830+00:00MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLMhttps://blog.schoergendorfer.com/post/beyond-benchmarking-scenario-based-evaluation-of-large-language-models-for-persoSecFeedde2026-08-25T08:31:27.237624+00:00Beyond Benchmarking: 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Perspectivehttps://blog.schoergendorfer.com/post/evaluating-large-language-models-for-automatic-analysis-of-teacher-simulationsSecFeedde2026-08-25T08:31:27.106714+00:00Evaluating Large Language Models for automatic analysis of teacher simulationshttps://blog.schoergendorfer.com/post/online-design-of-dynamic-networks-2SecFeedde2026-08-25T08:31:27.076252+00:00Online design of dynamic networkshttps://blog.schoergendorfer.com/post/memory-enhanced-neural-solvers-for-routing-problemsSecFeedde2026-08-25T08:31:27.048065+00:00Memory-Enhanced Neural Solvers for Routing Problemshttps://blog.schoergendorfer.com/post/a-survey-on-human-ai-collaboration-with-large-foundation-modelsSecFeedde2026-08-25T08:31:27.014799+00:00A Survey on Human-AI Collaboration with Large Foundation Modelshttps://blog.schoergendorfer.com/post/how-to-train-a-critic-stably-and-efficientlySecFeedde2026-08-25T08:31:26.982655+00:00How to Train a Critic Stably and 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Update Masking in Federated Learninghttps://blog.schoergendorfer.com/post/e2s-pruner-progressive-two-stage-evidence-fusion-for-visual-token-pruning-in-visSecFeedde2026-08-25T08:01:59.205870+00:00E2S-Pruner: Progressive Two-Stage Evidence Fusion for Visual Token Pruning in Vision-Language Modelshttps://blog.schoergendorfer.com/post/multi-winner-voting-with-argumentative-ballotsSecFeedde2026-08-25T08:01:59.148892+00:00Multi-Winner Voting with Argumentative Ballotshttps://blog.schoergendorfer.com/post/credal-large-language-models-for-semantic-commitment-under-uncertaintySecFeedde2026-08-25T08:01:59.118048+00:00Credal Large Language Models for Semantic Commitment under Uncertaintyhttps://blog.schoergendorfer.com/post/retrieval-augmented-classification-of-environmental-mitigations-in-hydropower-liSecFeedde2026-08-25T08:01:59.087623+00:00Retrieval-Augmented Classification of Environmental Mitigations in Hydropower Licensing 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Manipulationhttps://blog.schoergendorfer.com/post/statistical-machine-translation-systems-of-english-pnar-language-pair-some-insigSecFeedde2026-08-25T07:46:38.957049+00:00Statistical Machine Translation Systems of English-Pnar Language Pair : Some Insights of the Emperical Studyhttps://blog.schoergendorfer.com/post/literarybigfive-author-personalized-text-generation-in-a-unified-interpretable-sSecFeedde2026-08-25T07:46:38.935495+00:00LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Spacehttps://blog.schoergendorfer.com/post/demixpert-decomposed-response-modeling-with-gaussian-mixtures-for-ood-single-celSecFeedde2026-08-25T07:46:38.912601+00:00DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Predictionhttps://blog.schoergendorfer.com/post/molecular-llm-agents-from-architectural-design-to-scientific-autonomySecFeedde2026-08-25T07:46:38.890583+00:00Molecular LLM Agents: From Architectural Design to Scientific Autonomyhttps://blog.schoergendorfer.com/post/polychirp-multi-species-birdsong-classification-using-tinyml-on-low-power-acoustSecFeedde2026-08-25T07:46:38.867784+00:00PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensorshttps://blog.schoergendorfer.com/post/shaping-the-evolutionary-dynamics-of-robot-morphology-via-adaptive-control-learnSecFeedde2026-08-25T07:46:38.843612+00:00Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learninghttps://blog.schoergendorfer.com/post/cultural-moment-benchmark-evaluating-video-cultural-reasoning-and-grounding-in-sSecFeedde2026-08-25T07:46:38.816826+00:00Cultural Moment Benchmark: Evaluating Video Cultural Reasoning and Grounding in Southeast Asiahttps://blog.schoergendorfer.com/post/beyond-verdicts-a-graph-based-analysis-of-human-and-llm-reasoning-in-scientificSecFeedde2026-08-25T07:46:38.792807+00:00Beyond Verdicts: A Graph-Based Analysis of Human and LLM Reasoning in Scientific 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Media Feedshttps://blog.schoergendorfer.com/post/gencoord-skill-path-commitments-under-private-informationSecFeedde2026-08-25T04:46:21.898798+00:00GenCoord: Skill-Path Commitments under Private Informationhttps://blog.schoergendorfer.com/post/one-step-evolution-for-long-time-extrapolation-an-error-bound-informed-and-priorSecFeedde2026-08-25T04:31:21.678057+00:00One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEshttps://blog.schoergendorfer.com/post/more-accurate-or-more-efficient-evaluating-locally-deployed-compact-open-weightSecFeedde2026-08-25T04:31:21.653623+00:00More Accurate or More Efficient? Evaluating Locally Deployed Compact Open-Weight Language Models for Mathematical Reasoninghttps://blog.schoergendorfer.com/post/dynacontext-self-improving-dynamic-contextualization-of-optimized-prompts-for-heSecFeedde2026-08-25T04:31:21.607445+00:00DynaContext: Self-Improving Dynamic Contextualization of Optimized Prompts for Heterogeneous Parameter Extractionhttps://blog.schoergendorfer.com/post/redteaming-leading-arabic-llms-with-asasSecFeedde2026-08-25T04:31:21.580395+00:00Redteaming Leading Arabic LLMs with ASAShttps://blog.schoergendorfer.com/post/beyond-similarity-heterogeneous-graph-learning-for-multi-objective-food-substituSecFeedde2026-08-25T04:31:21.548978+00:00Beyond Similarity: Heterogeneous Graph Learning for Multi-Objective Food Substitution in Charitable Food Agencieshttps://blog.schoergendorfer.com/post/repo2skill-evo-repository-skills-go-stale-in-silenceSecFeedde2026-08-25T04:31:21.518150+00:00Repo2Skill-Evo: Repository Skills Go Stale in Silencehttps://blog.schoergendorfer.com/post/closed-loop-ai-achieves-certifiable-engineering-designSecFeedde2026-08-25T04:31:21.487616+00:00Closed-loop AI achieves certifiable engineering designhttps://blog.schoergendorfer.com/post/ssdi8-accurate-and-efficient-8-bit-quantization-for-state-space-dualitySecFeedde2026-08-25T04:31:21.459312+00:00SSDi8: Accurate and Efficient 8-bit Quantization for State Space Dualityhttps://blog.schoergendorfer.com/post/tessindex-capability-verified-identity-system-for-the-agent-economySecFeedde2026-08-25T04:31:21.431507+00:00TessIndex: Capability Verified Identity System for the Agent Economyhttps://blog.schoergendorfer.com/post/multimodal-prompt-learning-with-irregular-ehrs-for-robust-monitoring-of-criticalSecFeedde2026-08-25T04:31:21.404849+00:00Multimodal Prompt Learning with Irregular EHRs for Robust Monitoring of Critical Care Patientshttps://blog.schoergendorfer.com/post/guardianbench-a-same-scene-instruction-contrastive-benchmark-for-latent-contextuSecFeedde2026-08-25T04:31:21.377408+00:00GuardianBench: A Same-Scene Instruction-Contrastive Benchmark for Latent Contextual Risk in Embodied AIhttps://blog.schoergendorfer.com/post/escrag-r1-retrieval-augmented-reinforcement-learning-for-emotional-support-conveSecFeedde2026-08-25T04:31:21.348617+00:00ESCRAG-R1: Retrieval-Augmented Reinforcement Learning for Emotional Support Conversationhttps://blog.schoergendorfer.com/post/training-needs-trustworthy-worlds-verified-synthetic-web-environments-for-agentSecFeedde2026-08-25T04:31:21.299677+00:00Training Needs Trustworthy Worlds: Verified Synthetic Web Environments for Agent Learninghttps://blog.schoergendorfer.com/post/hima-mdd-a-hierarchical-multi-agent-harness-for-interpretable-multimodal-depressSecFeedde2026-08-25T04:31:21.249508+00:00HiMA-MDD: A Hierarchical Multi-Agent Harness for Interpretable Multimodal Depression Detection in Clinical Interviewshttps://blog.schoergendorfer.com/post/memguard-persisting-verifier-signals-for-llm-agent-memory-governanceSecFeedde2026-08-25T04:31:21.224211+00:00MemGuard: Persisting Verifier Signals for LLM-Agent Memory Governancehttps://blog.schoergendorfer.com/post/ai-watchdog-agent-interfaces-for-detecting-and-defending-against-manipulative-daSecFeedde2026-08-25T04:31:21.199978+00:00AI Watchdog: Agent Interfaces for Detecting and Defending Against Manipulative Dark Patterns in AI Conversationshttps://blog.schoergendorfer.com/post/gamexpert-bench-how-far-are-coding-agents-from-expert-game-developmentSecFeedde2026-08-25T04:16:31.544532+00:00GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?https://blog.schoergendorfer.com/post/beyond-success-and-failure-length-aware-contrastive-learning-for-gui-agentsSecFeedde2026-08-25T04:16:31.520581+00:00Beyond Success and Failure: Length-Aware Contrastive Learning for GUI Agentshttps://blog.schoergendorfer.com/post/hints-critics-and-teachers-prior-injection-for-sparse-reward-rl-in-vision-languaSecFeedde2026-08-25T04:16:31.473541+00:00Hints, Critics, and Teachers: Prior Injection for Sparse-Reward RL in Vision-Language Math Reasoninghttps://blog.schoergendorfer.com/post/hira-a-human-in-the-loop-retrieval-augmented-cascade-for-document-classificationSecFeedde2026-08-25T04:16:31.449941+00:00HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industrieshttps://blog.schoergendorfer.com/post/physics-knowledge-guided-hybrid-neural-learning-for-arctic-sea-ice-concentrationSecFeedde2026-08-25T04:16:31.426100+00:00Physics-Knowledge-Guided Hybrid Neural Learning for Arctic Sea Ice Concentration Evolution and Short-Range Predictionhttps://blog.schoergendorfer.com/post/what-does-clip-learn-for-regional-geolocalization-probing-visual-cues-and-sceneSecFeedde2026-08-25T04:16:31.404614+00:00What Does CLIP Learn for Regional Geolocalization? Probing Visual Cues and Scene Configuration After Adaptationhttps://blog.schoergendorfer.com/post/echo-a-cognitively-inspired-auditable-memory-plane-for-long-horizon-agentsSecFeedde2026-08-25T04:16:31.379853+00:00ECHO: A Cognitively Inspired, Auditable Memory Plane for Long-Horizon Agentshttps://blog.schoergendorfer.com/post/ask-or-answer-a-decision-framework-for-multi-turn-health-misinformation-intervenSecFeedde2026-08-25T04:16:31.351280+00:00Ask or Answer: A Decision Framework for Multi-Turn Health Misinformation Interventionhttps://blog.schoergendorfer.com/post/athena-knowledge-guided-agentic-neural-architecture-search-for-autoformer-basedSecFeedde2026-08-25T04:16:31.327869+00:00ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modelinghttps://blog.schoergendorfer.com/post/context-as-an-environment-programmatic-context-management-for-long-horizon-agentSecFeedde2026-08-25T04:16:31.283501+00:00Context as an Environment: Programmatic Context Management for Long-Horizon Agentshttps://blog.schoergendorfer.com/post/from-mastery-profile-to-simulated-response-stochastic-student-knowledge-graphs-sSecFeedde2026-08-25T04:16:31.260036+00:00From Mastery Profile to Simulated Response: Stochastic Student Knowledge Graphs (SSKG) for Faithful LLM Student Simulationhttps://blog.schoergendorfer.com/post/measuring-activation-control-in-large-language-modelsSecFeedde2026-08-25T04:16:31.238289+00:00Measuring Activation Control in Large Language Modelshttps://blog.schoergendorfer.com/post/saem-stage-aware-expert-management-for-memory-efficient-moe-inference-in-chain-oSecFeedde2026-08-25T04:16:31.214266+00:00SAEM: Stage-Aware Expert Management for Memory-Efficient MoE Inference in Chain-of-Thought Reasoninghttps://blog.schoergendorfer.com/post/semantic-compression-trees-multi-resolution-knowledge-retrieval-via-hierarchicalSecFeedde2026-08-25T04:16:31.192713+00:00Semantic Compression Trees: Multi-Resolution Knowledge Retrieval via Hierarchical Semantic Residualshttps://blog.schoergendorfer.com/post/generate-in-the-chart-not-on-the-boundary-function-symbol-grounding-for-hard-conSecFeedde2026-08-25T04:16:31.171633+00:00Generate in the Chart, Not on the Boundary: Function-Symbol Grounding for Hard Constraints in LTN-GANshttps://blog.schoergendorfer.com/post/k-bench-measuring-model-performance-on-real-scientific-agent-requestsSecFeedde2026-08-25T04:16:31.144995+00:00K-Bench: measuring model performance on real scientific agent requestshttps://blog.schoergendorfer.com/post/robust-lightweight-deep-learning-models-for-oral-cancer-screeningSecFeedde2026-08-25T04:16:31.101934+00:00Robust Lightweight Deep Learning Models for Oral Cancer Screeninghttps://blog.schoergendorfer.com/post/a-reproducible-license-aware-distillation-recipe-for-cpudeployable-safety-classiSecFeedde2026-08-25T04:02:09.882562+00:00A Reproducible, License-Aware Distillation Recipe for CPUDeployable Safety Classificationhttps://blog.schoergendorfer.com/post/quantifying-geographic-domain-shift-to-decouple-the-geospatial-transferability-oSecFeedde2026-08-25T04:02:09.850702+00:00Quantifying geographic domain shift to decouple the geospatial transferability of human mobility flow generation modelshttps://blog.schoergendorfer.com/post/let-credit-follow-computation-architecture-aware-credit-transport-for-large-langSecFeedde2026-08-25T04:02:09.817165+00:00Let Credit Follow Computation: Architecture-Aware Credit Transport for Large Language Model Reinforcement Learninghttps://blog.schoergendorfer.com/post/enhanced-artificial-neural-networks-using-qhadamw-in-air-quality-forecastingSecFeedde2026-08-25T04:02:09.781851+00:00Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecastinghttps://blog.schoergendorfer.com/post/software-frameworks-for-explainable-ai-in-time-series-classification-a-systematiSecFeedde2026-08-25T04:02:09.750539+00:00Software Frameworks for Explainable AI in Time Series Classification: A Systematic Reviewhttps://blog.schoergendorfer.com/post/agentic-ai-for-safety-critical-multi-drone-systems-challenges-and-opportunitiesSecFeedde2026-08-25T04:02:09.720849+00:00Agentic AI for Safety-critical Multi-drone Systems: Challenges and Opportunitieshttps://blog.schoergendorfer.com/post/evaluating-multimodal-narrative-understanding-of-popular-hollywood-filmsSecFeedde2026-08-25T04:02:09.689885+00:00Evaluating Multimodal Narrative Understanding of Popular Hollywood Filmshttps://blog.schoergendorfer.com/post/composable-trust-infrastructure-for-manufacturing-knowledge-graphs-cross-systemSecFeedde2026-08-25T04:02:09.659819+00:00Composable Trust Infrastructure for Manufacturing Knowledge Graphs: Cross-System Provenance, Temporal Reasoning, and Decision Traceabilityhttps://blog.schoergendorfer.com/post/retrieval-grounded-robot-program-generation-and-simulation-based-correction-viaSecFeedde2026-08-25T04:02:09.627022+00:00Retrieval-grounded robot program generation and simulation-based correction via Model Context Protocolhttps://blog.schoergendorfer.com/post/hate-speech-classification-in-roman-urdu-a-comparative-study-on-parameter-efficiSecFeedde2026-08-25T04:02:09.568764+00:00Hate Speech Classification In Roman Urdu: A Comparative Study On Parameter Efficient Fine-Tuning And Prompt Engineeringhttps://blog.schoergendorfer.com/post/spyre-accelerated-retrieval-augmented-generation-on-ibm-linuxone-a-cloud-nativeSecFeedde2026-08-25T04:02:09.547723+00:00Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI Inferencehttps://blog.schoergendorfer.com/post/there-is-no-neutral-harness-modern-llm-leaderboards-are-manufactured-by-config-fSecFeedde2026-08-25T04:02:09.524410+00:00There Is No Neutral Harness: Modern LLM Leaderboards Are Manufactured by Config-Fragile Itemshttps://blog.schoergendorfer.com/post/riact-a-responsible-ai-system-for-personalized-study-habit-tracking-and-early-buSecFeedde2026-08-25T04:02:09.497811+00:00RIACT: A Responsible AI System for Personalized Study Habit Tracking and Early Burnout Signal Detection in University Studentshttps://blog.schoergendorfer.com/post/schemarouter-field-aware-tool-routing-for-efficient-heterogeneous-agentic-ragSecFeedde2026-08-25T04:02:09.460922+00:00SchemaRouter: Field-Aware Tool Routing for Efficient Heterogeneous Agentic RAGhttps://blog.schoergendorfer.com/post/litreview-arena-evaluating-literature-review-agents-with-battle-style-peer-revieSecFeedde2026-08-25T04:02:09.425487+00:00LitReview Arena: Evaluating Literature Review Agents with Battle-Style Peer Review Platformhttps://blog.schoergendorfer.com/post/reviewing-model-collapse-and-countermeasuresSecFeedde2026-08-25T04:02:09.378676+00:00Reviewing Model Collapse and Countermeasureshttps://blog.schoergendorfer.com/post/airep-a-protocol-for-per-decision-evidence-in-ai-runtime-governanceSecFeedde2026-08-25T04:02:09.348642+00:00AIREP: A Protocol for Per-Decision Evidence in AI Runtime Governancehttps://blog.schoergendorfer.com/post/kvboost-chunk-level-key-value-cache-reuse-with-deviation-guided-recomputation-foSecFeedde2026-08-25T04:02:09.323043+00:00KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model Inferencehttps://blog.schoergendorfer.com/post/ainews-andrew-ng-gets-into-ai-engineeringSecFeedde2026-08-25T03:01:41.678056+00:00[AINews] Andrew Ng gets into AI Engineeringhttps://blog.schoergendorfer.com/post/amazon-ecs-now-automatically-detects-and-repairs-container-instances-with-impairSecFeedde2026-08-25T00:16:24.372786+00:00Amazon ECS now automatically detects and repairs container instances with impaired agent connectivityhttps://blog.schoergendorfer.com/post/jetbrains-junie-now-runs-entirely-offline-can-you-spare-a-64-gb-m5-mac-2SecFeedde2026-08-24T23:31:32.404317+00:00JetBrains’ Junie now runs entirely offline. Can you spare a 64 GB M5 Mac?https://blog.schoergendorfer.com/post/why-tokenmaxxing-was-always-the-wrong-way-for-developers-to-measure-ai-productivSecFeedde2026-08-24T23:31:32.376623+00:00Why “Tokenmaxxing” Was Always the Wrong Way for Developers to Measure AI Productivityhttps://blog.schoergendorfer.com/post/fastino-releases-gliner25-a-boundary-prediction-architecture-that-removes-span-eSecFeedde2026-08-24T22:31:22.556445+00:00Fastino Releases GLiNER2.5: A Boundary-Prediction Architecture That Removes Span Enumeration From Information Extractionhttps://blog.schoergendorfer.com/post/aws-neuron-232-introduces-expanded-nki-programming-mxfp8-training-kernels-and-vaSecFeedde2026-08-24T22:16:25.516659+00:00AWS Neuron 2.32 introduces expanded NKI programming, MXFP8 training kernels, and variable-size collectives for Trn2 and Trnhttps://blog.schoergendorfer.com/post/amazon-eks-now-supports-multiple-external-oidc-identity-providers-per-clusterSecFeedde2026-08-24T22:16:25.490335+00:00Amazon EKS now supports multiple external OIDC identity providers per clusterhttps://blog.schoergendorfer.com/post/jetbrains-junie-now-runs-entirely-offline-can-you-spare-a-64-gb-m5-macSecFeedde2026-08-24T22:01:49.746838+00:00JetBrains Junie now runs entirely offline. Can you spare a 64 GB M5 Mac?https://blog.schoergendorfer.com/post/zdi-26-589-bluez-a2dp-stack-based-buffer-overflow-remote-code-execution-vulnerabSecFeedde2026-08-24T22:01:49.712038+00:00ZDI-26-589: BlueZ A2DP Stack-based Buffer Overflow Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-590-libwebsockets-http2-hpack-path-header-parsing-out-of-bounds-write-remSecFeedde2026-08-24T22:01:49.684413+00:00ZDI-26-590: libwebsockets HTTP/2 HPACK Path Header Parsing Out-Of-Bounds Write Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-591-nvidia-tensorrt-onnx-file-parsing-heap-based-buffer-overflow-remote-cSecFeedde2026-08-24T21:46:33.869237+00:00ZDI-26-591: NVIDIA TensorRT ONNX File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-592-nvidia-tensorrt-onnx-file-parsing-improper-validation-of-array-indexSecFeedde2026-08-24T21:46:33.841397+00:00ZDI-26-592: NVIDIA TensorRT ONNX File Parsing Improper Validation of Array Index Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-593-nvidia-tensorrt-onnx-file-parsing-heap-based-buffer-overflow-remote-cSecFeedde2026-08-24T21:46:33.814087+00:00ZDI-26-593: NVIDIA TensorRT ONNX File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-594-nvidia-megatron-bridge-load_model_config-code-injection-remote-code-eSecFeedde2026-08-24T21:46:33.786372+00:00ZDI-26-594: NVIDIA Megatron Bridge load_model_config Code Injection Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-595-foxit-pdf-reader-annotation-use-after-free-remote-code-execution-vulnSecFeedde2026-08-24T21:46:33.758997+00:00ZDI-26-595: Foxit PDF Reader Annotation Use-After-Free Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-596-foxit-pdf-reader-pdf-file-parsing-out-of-bounds-read-information-discSecFeedde2026-08-24T21:46:33.735400+00:00ZDI-26-596: Foxit PDF Reader PDF File Parsing Out-Of-Bounds Read Information Disclosure Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-597-foxit-pdf-reader-acroform-use-after-free-remote-code-execution-vulnerSecFeedde2026-08-24T21:46:33.708886+00:00ZDI-26-597: Foxit PDF Reader AcroForm Use-After-Free Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-598-foxit-pdf-reader-acroform-use-after-free-remote-code-execution-vulnerSecFeedde2026-08-24T21:46:33.683305+00:00ZDI-26-598: Foxit PDF Reader AcroForm Use-After-Free Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-599-foxit-pdf-reader-annotation-use-after-free-information-disclosure-vulSecFeedde2026-08-24T21:46:33.658437+00:00ZDI-26-599: Foxit PDF Reader Annotation Use-After-Free Information Disclosure Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-600-foxit-pdf-reader-annotation-use-after-free-information-disclosure-vulSecFeedde2026-08-24T21:46:33.630860+00:00ZDI-26-600: Foxit PDF Reader Annotation Use-After-Free Information Disclosure Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-601-foxit-pdf-reader-annotation-use-after-free-information-disclosure-vulSecFeedde2026-08-24T21:46:33.604095+00:00ZDI-26-601: Foxit PDF Reader Annotation Use-After-Free Information Disclosure Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-602-foxit-pdf-reader-doc-object-use-after-free-remote-code-execution-vulnSecFeedde2026-08-24T21:46:33.575630+00:00ZDI-26-602: Foxit PDF Reader Doc Object Use-After-Free Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-603-foxit-pdf-reader-annotation-use-after-free-remote-code-execution-vulnSecFeedde2026-08-24T21:46:33.549262+00:00ZDI-26-603: Foxit PDF Reader Annotation Use-After-Free Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-604-foxit-pdf-reader-annotation-use-after-free-remote-code-execution-vulnSecFeedde2026-08-24T21:46:33.523635+00:00ZDI-26-604: Foxit PDF Reader Annotation Use-After-Free Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-605-microsoft-windows-localized-filenames-improper-input-validation-ntlmSecFeedde2026-08-24T21:46:33.495822+00:00ZDI-26-605: Microsoft Windows Localized Filenames Improper Input Validation NTLM Response Information Disclosure Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-606-microsoft-windows-compatibility-appraiser-link-following-local-privilSecFeedde2026-08-24T21:46:33.472353+00:00ZDI-26-606: Microsoft Windows Compatibility Appraiser Link Following Local Privilege Escalation Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-607-microsoft-office-html-injection-information-disclosure-vulnerabilitySecFeedde2026-08-24T21:46:33.448909+00:00ZDI-26-607: Microsoft Office HTML Injection Information Disclosure Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-608-linux-kernel-kvm-ioapic-use-after-free-local-privilege-escalation-vulSecFeedde2026-08-24T21:46:33.425246+00:00ZDI-26-608: Linux Kernel KVM IOAPIC Use-After-Free Local Privilege Escalation Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-609-linux-kernel-net-scheduler-packet-classifier-use-after-free-local-priSecFeedde2026-08-24T21:46:33.399334+00:00ZDI-26-609: Linux Kernel Net Scheduler Packet Classifier Use-After-Free Local Privilege Escalation Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-610-apple-safari-javascriptcore-b3-reducestrength-phase-use-after-free-reSecFeedde2026-08-24T21:46:33.371686+00:00ZDI-26-610: Apple Safari JavaScriptCore B3 ReduceStrength Phase Use-After-Free Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-585-originlab-origin-viewer-ogwu-file-parsing-out-of-bounds-write-remoteSecFeedde2026-08-24T21:16:34.455942+00:00ZDI-26-585: OriginLab Origin Viewer OGWU File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-586-originlab-origin-viewer-ogm-file-parsing-memory-corruption-remote-codSecFeedde2026-08-24T21:16:34.431100+00:00ZDI-26-586: OriginLab Origin Viewer OGM File Parsing Memory Corruption Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-587-ashlar-vellum-cobalt-vs-file-parsing-heap-based-buffer-overflow-remotSecFeedde2026-08-24T21:16:34.405223+00:00ZDI-26-587: Ashlar-Vellum Cobalt VS File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-588-fabricjs-loadfromjson-server-side-request-forgery-vulnerabilitySecFeedde2026-08-24T21:16:34.378999+00:00ZDI-26-588: Fabric.js loadFromJSON Server-Side Request Forgery Vulnerabilityhttps://blog.schoergendorfer.com/post/junie-now-runs-entirely-offline-can-you-spare-a-64-gb-m5-macSecFeedde2026-08-24T21:01:28.674402+00:00Junie now runs entirely offline. Can you spare a 64 GB M5 Mac?https://blog.schoergendorfer.com/post/your-alt-text-passes-automated-checks-that-doesnt-mean-its-any-goodSecFeedde2026-08-24T21:01:28.648014+00:00Your alt text passes automated checks. That doesn’t mean it’s any good.https://blog.schoergendorfer.com/post/microsoft-named-a-leader-in-the-2026-idc-marketscape-for-mdrmxdr-for-the-enterpr-2SecFeedde2026-08-24T20:31:36.962756+00:00Microsoft named a Leader in the 2026 IDC MarketScape for MDR/MXDR for the Enterprisehttps://blog.schoergendorfer.com/post/amazon-connect-customer-now-supports-information-extraction-for-agent-voice-andSecFeedde2026-08-24T20:16:22.039478+00:00Amazon Connect Customer now supports information extraction for agent voice and chat conversationshttps://blog.schoergendorfer.com/post/ox-alphas-real-mystery-isnt-who-built-itSecFeedde2026-08-24T20:01:35.590193+00:00Ox Alpha’s real mystery isn’t who built ithttps://blog.schoergendorfer.com/post/anthropics-playground-vs-openais-the-week-old-tool-beat-the-six-year-incumbentSecFeedde2026-08-24T19:46:32.287862+00:00Anthropic’s Playground vs. OpenAI’s: The week-old tool beat the six-year incumbenthttps://blog.schoergendorfer.com/post/introducing-new-ray-capabilities-on-sagemaker-hyperpodSecFeedde2026-08-24T19:46:32.234782+00:00Introducing new Ray capabilities on SageMaker HyperPodhttps://blog.schoergendorfer.com/post/cisa-adds-one-known-exploited-vulnerability-to-catalog-12SecFeedde2026-08-24T19:31:46.224917+00:00CISA Adds One Known Exploited Vulnerability to Cataloghttps://blog.schoergendorfer.com/post/the-cloudflare-blog-brought-to-you-by-emdashSecFeedde2026-08-24T19:16:23.654757+00:00The Cloudflare Blog – Brought to you by EmDashhttps://blog.schoergendorfer.com/post/democratizing-institutional-knowledge-building-an-ai-powered-knowledge-managemenSecFeedde2026-08-24T19:02:16.193404+00:00Democratizing institutional knowledge: Building an AI-powered knowledge management system with AWShttps://blog.schoergendorfer.com/post/when-code-is-abundantSecFeedde2026-08-24T18:31:43.979052+00:00When code is abundanthttps://blog.schoergendorfer.com/post/aws-parallelcluster-316-adds-an-on-node-diagnostics-toolSecFeedde2026-08-24T18:16:42.526135+00:00AWS ParallelCluster 3.16 adds an on-node diagnostics toolhttps://blog.schoergendorfer.com/post/amazon-sagemaker-hyperpod-enhances-support-for-raySecFeedde2026-08-24T18:16:42.491021+00:00Amazon SageMaker HyperPod enhances support for Rayhttps://blog.schoergendorfer.com/post/amazon-aurora-now-supports-postgresql-184-1710-1614-1518-and-1423SecFeedde2026-08-24T18:16:42.465158+00:00Amazon Aurora now supports PostgreSQL 18.4, 17.10, 16.14, 15.18, and 14.23https://blog.schoergendorfer.com/post/grok-bot-vs-hermes-where-each-draws-the-security-boundarySecFeedde2026-08-24T17:46:50.117379+00:00Grok Bot vs. Hermes: Where each draws the security boundaryhttps://blog.schoergendorfer.com/post/amazon-rds-for-mysql-now-supports-new-minor-version-8411SecFeedde2026-08-24T17:17:02.748261+00:00Amazon RDS for MySQL now supports new minor version 8.4.11https://blog.schoergendorfer.com/post/aws-weekly-roundup-student-rewards-on-aws-builder-center-local-zone-in-las-vegasSecFeedde2026-08-24T16:31:55.736882+00:00AWS Weekly Roundup: Student Rewards on AWS Builder Center, Local Zone in Las Vegas, and more (August 24, 2026)https://blog.schoergendorfer.com/post/agentic-resource-discovery-ard-an-open-specification-for-agent-discoverySecFeedde2026-08-24T16:31:55.696676+00:00Agentic Resource Discovery (ARD): An open specification for agent discoveryhttps://blog.schoergendorfer.com/post/amazon-redshift-now-supports-concurrency-scaling-of-streaming-ingestion-workloadSecFeedde2026-08-24T16:16:40.028664+00:00Amazon Redshift now supports concurrency scaling of streaming ingestion workloads from Amazon Kinesis data streamshttps://blog.schoergendorfer.com/post/building-a-restaurant-telephony-ai-host-with-amazon-connectSecFeedde2026-08-24T16:16:40.002910+00:00Building a restaurant telephony AI host with Amazon Connecthttps://blog.schoergendorfer.com/post/empowering-autonomous-agents-with-advanced-security-governanceSecFeedde2026-08-24T16:16:39.970993+00:00Empowering autonomous agents with advanced security governancehttps://blog.schoergendorfer.com/post/new-ai-powered-quick-assessments-in-migration-center-turbocharge-modernizationSecFeedde2026-08-24T16:16:39.940367+00:00New AI-powered quick assessments in Migration Center turbocharge modernizationhttps://blog.schoergendorfer.com/post/ai-powered-metadata-correction-and-harmonizationSecFeedde2026-08-24T16:01:40.678223+00:00AI-powered metadata correction and harmonizationhttps://blog.schoergendorfer.com/post/how-a-global-payment-processor-preserved-aws-ram-shares-and-lake-formation-permiSecFeedde2026-08-24T15:31:30.825412+00:00How a global payment processor preserved AWS RAM shares and Lake Formation permissions during an AWS Organizations migrationhttps://blog.schoergendorfer.com/post/how-to-encourage-smarter-ai-use-in-the-classroomSecFeedde2026-08-24T14:46:27.020632+00:00How to encourage smarter AI use in the classroomhttps://blog.schoergendorfer.com/post/generalist-ai-releases-gen-15-a-robot-foundation-model-that-learns-new-tasks-froSecFeedde2026-08-24T14:31:48.525523+00:00Generalist AI Releases GEN-1.5: A Robot Foundation Model That Learns New Tasks From One 3–12 Second Demohttps://blog.schoergendorfer.com/post/openai-gpt-56-terra-and-luna-now-available-on-amazon-bedrock-in-aws-govcloud-usSecFeedde2026-08-24T14:16:44.557832+00:00OpenAI GPT-5.6 Terra and Luna now available on Amazon Bedrock in AWS GovCloud (US)https://blog.schoergendorfer.com/post/24th-august-threat-intelligence-reportSecFeedde2026-08-24T14:16:44.527946+00:0024th August – Threat Intelligence Reporthttps://blog.schoergendorfer.com/post/ten-great-devops-job-opportunities-8SecFeedde2026-08-24T14:01:24.239817+00:00Ten Great DevOps Job Opportunitieshttps://blog.schoergendorfer.com/post/google-research-introduces-me-pois-a-mobility-informed-framework-that-adds-how-aSecFeedde2026-08-24T14:01:24.114723+00:00Google Research Introduces ME-POIs: A Mobility-Informed Framework that Adds “How a Place Is Used” to Text-Based POI Embeddingshttps://blog.schoergendorfer.com/post/import-ai-470-no-rights-for-machines-automating-environment-generation-with-spadSecFeedde2026-08-24T13:31:25.331120+00:00Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeyehttps://blog.schoergendorfer.com/post/thomson-reuters-trained-its-own-ai-model-then-it-kept-using-anthropics-anywaySecFeedde2026-08-24T13:16:24.873803+00:00Thomson Reuters trained its own AI model. Then it kept using Anthropic’s anyway.https://blog.schoergendorfer.com/post/minio-end-of-life-how-to-stay-patched-and-audit-ready-with-docker-elsSecFeedde2026-08-24T13:01:39.573760+00:00MinIO End of Life: How to Stay Patched and Audit-Ready with Docker ELShttps://blog.schoergendorfer.com/post/how-to-monitor-hcp-terraform-and-terraform-enterprise-with-grafana-cloudSecFeedde2026-08-24T12:31:31.432277+00:00How to monitor HCP Terraform and Terraform Enterprise with Grafana Cloudhttps://blog.schoergendorfer.com/post/how-to-visualize-workflows-and-business-processes-in-grafana-introducing-the-graSecFeedde2026-08-24T12:31:31.401174+00:00How to visualize workflows and business processes in Grafana: Introducing the Graphviz panelhttps://blog.schoergendorfer.com/post/how-volumetric-sampling-makes-the-most-of-your-trace-budget-in-grafana-cloudSecFeedde2026-08-24T12:31:31.367557+00:00How volumetric sampling makes the most of your trace budget in Grafana Cloudhttps://blog.schoergendorfer.com/post/better-context-smarter-testing-how-to-give-your-ai-coding-agent-direct-access-toSecFeedde2026-08-24T12:20:01.112181+00:00Better context, smarter testing: How to give your AI coding agent direct access to k6 docshttps://blog.schoergendorfer.com/post/visual-playback-of-the-user-journey-introducing-session-replay-in-grafana-cloudSecFeedde2026-08-24T12:20:01.079890+00:00Visual playback of the user journey: Introducing Session Replay in Grafana Cloud Frontend Observabilityhttps://blog.schoergendorfer.com/post/from-failed-check-to-real-user-impact-pairing-synthetic-monitoring-and-frontendSecFeedde2026-08-24T12:20:01.054274+00:00From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloudhttps://blog.schoergendorfer.com/post/knowledge-graph-as-context-for-llms-demonstrating-decisive-rca-and-faster-producSecFeedde2026-08-24T12:20:01.026494+00:00Knowledge Graph as context for LLMs: demonstrating decisive RCA and faster production performancehttps://blog.schoergendorfer.com/post/grafana-132-release-easier-ways-to-query-and-explore-your-dataSecFeedde2026-08-24T12:20:00.996916+00:00Grafana 13.2 release: easier ways to query and explore your datahttps://blog.schoergendorfer.com/post/how-to-scale-alloy-as-a-central-telemetry-gateway-capacity-planning-load-testingSecFeedde2026-08-24T12:20:00.968794+00:00How to scale Alloy as a central telemetry gateway: capacity planning, load testing, and production lessonshttps://blog.schoergendorfer.com/post/beyond-log-search-what-we-learned-building-a-rag-based-incident-diagnosis-systemSecFeedde2026-08-24T12:01:35.485821+00:00Beyond Log Search: What We Learned Building a RAG-Based Incident Diagnosis Systemhttps://blog.schoergendorfer.com/post/istio-project-announces-2026-technical-oversight-committee-election-resultsSecFeedde2026-08-24T12:01:35.421104+00:00Istio Project Announces 2026 Technical Oversight Committee Election Resultshttps://blog.schoergendorfer.com/post/automating-root-cause-analysis-at-scale-multi-signal-correlation-for-cloud-nativSecFeedde2026-08-24T11:46:32.410587+00:00Automating root cause analysis at scale: Multi-signal correlation for cloud native incident responsehttps://blog.schoergendorfer.com/post/scalable-jenkins-management-empowering-enterprises-with-centralized-control-forSecFeedde2026-08-24T11:31:24.191350+00:00Scalable Jenkins Management: Empowering Enterprises With Centralized Control for 150+ Instanceshttps://blog.schoergendorfer.com/post/criminal-deception-in-silicon-valleySecFeedde2026-08-24T11:31:23.388635+00:00Criminal Deception in Silicon Valleyhttps://blog.schoergendorfer.com/post/preparing-infrastructure-for-the-next-phase-of-agentic-aiSecFeedde2026-08-24T11:31:23.366645+00:00Preparing Infrastructure for the Next Phase of Agentic AIhttps://blog.schoergendorfer.com/post/kids-outlearn-aiand-we-still-dont-know-whySecFeedde2026-08-24T11:16:23.832055+00:00Kids outlearn AI—and we still don’t know whyhttps://blog.schoergendorfer.com/post/best-gpu-neoclouds-2026-coreweave-nebius-lambda-crusoe-and-groq-ranked-by-publis-2SecFeedde2026-08-24T10:01:37.673346+00:00Best GPU Neoclouds 2026: CoreWeave, Nebius, Lambda, Crusoe, and Groq Ranked by Published Pricing and Contracted Powerhttps://blog.schoergendorfer.com/post/the-voiceprint-fallacy-why-voices-are-not-unique-biometric-imprints-2SecFeedde2026-08-24T09:46:49.704051+00:00The Voiceprint Fallacy: Why Voices Are Not Unique Biometric Imprintshttps://blog.schoergendorfer.com/post/human-level-text-to-sql-via-reinforcement-learning-on-verified-data-without-pipe-2SecFeedde2026-08-24T09:46:49.676301+00:00Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline Engineeringhttps://blog.schoergendorfer.com/post/is-vibe-coding-safe-benchmarking-vulnerability-of-agent-generated-code-in-real-wSecFeedde2026-08-24T09:46:49.651602+00:00Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Taskshttps://blog.schoergendorfer.com/post/when-better-teachers-dont-make-better-students-revisiting-knowledge-distillationSecFeedde2026-08-24T09:46:49.625141+00:00When Better Teachers Don't Make Better Students: Revisiting Knowledge Distillation for CLIP Models in VQAhttps://blog.schoergendorfer.com/post/library-hallucinations-in-llm-generated-code-a-risk-analysis-grounded-in-developSecFeedde2026-08-24T09:46:49.601341+00:00Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Querieshttps://blog.schoergendorfer.com/post/mitigating-identity-essentialism-in-llm-agents-with-longitudinal-life-trajectori-2SecFeedde2026-08-24T09:46:49.575509+00:00Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectorieshttps://blog.schoergendorfer.com/post/hear2act-benchmarking-when-prosody-should-change-what-an-assistant-does-2SecFeedde2026-08-24T09:46:49.547485+00:00Hear2Act: Benchmarking When Prosody Should Change What an Assistant Doeshttps://blog.schoergendorfer.com/post/do-large-language-models-play-six-degrees-of-separation-measuring-topological-co-2SecFeedde2026-08-24T09:46:49.518458+00:00Do Large Language Models Play Six Degrees of Separation? 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A Compute-Equivalent Analysis of Reasoning Distillationhttps://blog.schoergendorfer.com/post/beyond-gold-standards-epistemic-ensemble-of-llm-judges-for-formal-mathematical-rSecFeedde2026-08-24T09:31:29.860498+00:00Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoninghttps://blog.schoergendorfer.com/post/migrationnarrate-a-dataset-for-detection-of-migration-narratives-in-youtube-videSecFeedde2026-08-24T09:31:29.834942+00:00MigrationNarrate: A Dataset for Detection of Migration Narratives in YouTube Videoshttps://blog.schoergendorfer.com/post/dont-judge-code-by-its-cover-exploring-biases-in-llm-judges-for-code-evaluationSecFeedde2026-08-24T09:31:29.813808+00:00Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluationhttps://blog.schoergendorfer.com/post/identify-locate-link-end-to-end-key-value-extraction-from-document-imagesSecFeedde2026-08-24T09:31:29.791789+00:00Identify, Locate, Link: End-to-End Key-Value Extraction from Document Imageshttps://blog.schoergendorfer.com/post/a-factorial-ablation-of-a-speech-to-sft-pipeline-differential-effects-on-data-quSecFeedde2026-08-24T09:31:29.769948+00:00A Factorial Ablation of a Speech-to-SFT Pipeline: Differential Effects on Data Quality and Downstream Transferhttps://blog.schoergendorfer.com/post/prompt-model-interaction-reaches-the-fixed-points-a-deterministic-task-free-struSecFeedde2026-08-24T09:31:29.727318+00:00Prompt-Model Interaction Reaches the Fixed Points: A deterministic, task-free structural readout -- and the factorizations of it that failedhttps://blog.schoergendorfer.com/post/memory-augmentation-unlocks-efficient-chain-of-thought-reasoningSecFeedde2026-08-24T09:31:29.696955+00:00Memory Augmentation Unlocks Efficient Chain-of-Thought Reasoninghttps://blog.schoergendorfer.com/post/affective-context-amplifies-sycophancy-in-llm-responsesSecFeedde2026-08-24T09:31:29.660773+00:00Affective Context Amplifies Sycophancy in LLM Responseshttps://blog.schoergendorfer.com/post/benchmarking-patent-drafting-from-inventor-style-disclosuresSecFeedde2026-08-24T09:31:29.633365+00:00Benchmarking Patent Drafting from Inventor-Style Disclosureshttps://blog.schoergendorfer.com/post/rare-decoupling-representation-steering-from-expert-routing-in-mixture-of-expertSecFeedde2026-08-24T09:31:29.605287+00:00RARE: Decoupling Representation Steering from Expert Routing in Mixture-of-Experts Language Modelshttps://blog.schoergendorfer.com/post/when-the-feature-pool-goes-algorithmic-extending-mufwenes-ecology-of-language-evSecFeedde2026-08-24T09:31:29.574881+00:00When the Feature Pool Goes Algorithmic: Extending Mufwene's Ecology of Language Evolution to LLM-Mediated Exposurehttps://blog.schoergendorfer.com/post/jokes-aside-measuring-the-semantic-distance-of-double-meaningsSecFeedde2026-08-24T09:31:29.548834+00:00Jokes Aside: Measuring the Semantic Distance of Double Meaningshttps://blog.schoergendorfer.com/post/evidence-consistent-generative-detection-under-scenario-level-distribution-shiftSecFeedde2026-08-24T09:31:29.515173+00:00Evidence-Consistent Generative Detection under Scenario-Level Distribution Shifthttps://blog.schoergendorfer.com/post/scaling-unsupervised-word-alignment-to-documents-via-structural-constraintsSecFeedde2026-08-24T09:31:29.488874+00:00Scaling Unsupervised Word Alignment to Documents via Structural Constraintshttps://blog.schoergendorfer.com/post/foredreamer-a-self-evolving-dual-agent-memory-architecture-for-future-event-predSecFeedde2026-08-24T09:16:20.140647+00:00ForeDreamer: A Self-Evolving Dual-Agent Memory Architecture for Future Event Predictionhttps://blog.schoergendorfer.com/post/asmevo-agentic-assembly-level-optimization-of-amd-gpu-kernels-with-functional-eqSecFeedde2026-08-24T09:16:20.101131+00:00AsmEvo: Agentic Assembly-Level Optimization of AMD GPU Kernels with Functional Equivalence Verificationhttps://blog.schoergendorfer.com/post/directional-contextual-representations-for-dependency-relations-why-cross-directSecFeedde2026-08-24T09:16:20.058136+00:00Directional Contextual Representations for Dependency Relations: Why Cross-Direction Pairing Failshttps://blog.schoergendorfer.com/post/argus-theory-of-mind-guided-argument-generation-with-strategy-aware-planning-andSecFeedde2026-08-24T09:16:20.016857+00:00ARGUS: Theory-of-Mind Guided Argument Generation with Strategy-Aware Planning and Knowledge Groundinghttps://blog.schoergendorfer.com/post/lilicorr-lightweight-likelihood-correlation-of-parallel-drafts-for-speculative-dSecFeedde2026-08-24T09:16:19.996514+00:00LiLiCorr: Lightweight Likelihood Correlation of Parallel Drafts for Speculative Decodinghttps://blog.schoergendorfer.com/post/immigrationreason-a-structured-dataset-of-us-immigration-appeals-for-legal-reasoSecFeedde2026-08-24T09:16:19.956703+00:00ImmigrationReason: A Structured Dataset of U.S. Immigration Appeals for Legal Reasoning Researchhttps://blog.schoergendorfer.com/post/intent-engine-natural-language-intent-translation-for-intent-driven-orchestratioSecFeedde2026-08-24T09:16:19.936071+00:00Intent Engine: Natural-Language Intent Translation for Intent-Driven Orchestration in the Compute Continuumhttps://blog.schoergendorfer.com/post/using-human-llm-disagreement-to-improve-checklist-based-quality-appraisalSecFeedde2026-08-24T09:16:19.914352+00:00Using Human-LLM Disagreement to Improve Checklist-Based Quality Appraisalhttps://blog.schoergendorfer.com/post/decoupled-vision-language-system-for-multimodal-understanding-and-generationSecFeedde2026-08-24T09:16:19.893489+00:00Decoupled Vision-Language System for Multimodal Understanding and Generationhttps://blog.schoergendorfer.com/post/graft-adaptive-dlm-based-draft-tree-construction-with-target-distilled-edge-scorSecFeedde2026-08-24T09:16:19.870398+00:00GRAFT: Adaptive DLM-Based Draft Tree Construction with Target-Distilled Edge Scoringhttps://blog.schoergendorfer.com/post/an-ambiguity-taxonomy-for-evaluating-large-language-model-performance-on-clinicaSecFeedde2026-08-24T09:16:19.847443+00:00An ambiguity taxonomy for evaluating large language model performance on clinical registry abstraction: a multi-site prospective studyhttps://blog.schoergendorfer.com/post/research-paper-quality-recognition-through-textual-feature-analysisSecFeedde2026-08-24T09:16:19.826050+00:00Research Paper Quality Recognition Through Textual Feature Analysishttps://blog.schoergendorfer.com/post/self-speculation-for-faster-reasoning-modelsSecFeedde2026-08-24T09:16:19.804767+00:00Self-Speculation for Faster Reasoning Modelshttps://blog.schoergendorfer.com/post/building-and-evaluating-a-synthetic-bengali-speech-resource-for-telecom-customerSecFeedde2026-08-24T09:16:19.783396+00:00Building and Evaluating a Synthetic Bengali Speech Resource for Telecom Customer Carehttps://blog.schoergendorfer.com/post/beyond-raw-transcripts-structured-persona-extraction-for-llm-based-digital-twinsSecFeedde2026-08-24T09:16:19.761132+00:00Beyond Raw Transcripts: Structured Persona Extraction for LLM-Based Digital Twinshttps://blog.schoergendorfer.com/post/mint-agent-introducing-finance-native-agentic-foundation-models-2SecFeedde2026-08-24T09:16:19.739321+00:00Mint-Agent: Introducing Finance-Native Agentic Foundation Modelshttps://blog.schoergendorfer.com/post/a-continually-expandable-foundation-model-for-brain-mri-3SecFeedde2026-08-24T09:01:42.416084+00:00A continually expandable foundation model for brain MRIhttps://blog.schoergendorfer.com/post/latent-softmax-for-data-efficient-phoneme-based-multilingual-asr-across-tonal-an-2SecFeedde2026-08-24T09:01:42.390385+00:00Latent Softmax for Data-Efficient Phoneme-Based Multilingual ASR Across Tonal and Non-Tonal Languageshttps://blog.schoergendorfer.com/post/felog-scalable-and-efficient-distributed-graph-embedding-with-feedback-loop-mechSecFeedde2026-08-24T09:01:42.363650+00:00FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanismhttps://blog.schoergendorfer.com/post/adaptive-inference-for-resource-constrained-dynamic-pricingSecFeedde2026-08-24T09:01:42.334551+00:00Adaptive Inference for Resource-Constrained Dynamic Pricinghttps://blog.schoergendorfer.com/post/towards-automated-discovery-a-review-of-generative-models-multimodal-learning-anSecFeedde2026-08-24T09:01:42.310423+00:00Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Designhttps://blog.schoergendorfer.com/post/on-finite-sample-concentration-of-median-of-incomplete-u-statisticsSecFeedde2026-08-24T09:01:42.287951+00:00On Finite-sample Concentration of Median of Incomplete U-Statisticshttps://blog.schoergendorfer.com/post/routescan-a-non-intrusive-approach-to-auditing-moe-llms-safety-via-expert-routinSecFeedde2026-08-24T09:01:42.264913+00:00RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetryhttps://blog.schoergendorfer.com/post/compared-to-what-baselines-and-metrics-for-counterfactual-promptingSecFeedde2026-08-24T09:01:42.242061+00:00Compared to What? Baselines and Metrics for Counterfactual Promptinghttps://blog.schoergendorfer.com/post/automatic-classification-pipeline-for-glitches-in-the-virgo-detectorSecFeedde2026-08-24T09:01:42.221774+00:00Automatic classification pipeline for glitches in the Virgo detectorhttps://blog.schoergendorfer.com/post/optimistic-online-lqr-via-intrinsic-rewardsSecFeedde2026-08-24T09:01:42.195327+00:00Optimistic Online LQR via Intrinsic Rewardshttps://blog.schoergendorfer.com/post/a-deep-reinforcement-learning-framework-for-closed-loop-guidance-of-fish-schoolsSecFeedde2026-08-24T09:01:42.170332+00:00A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agentshttps://blog.schoergendorfer.com/post/actively-learning-joint-contours-of-multiple-computer-experimentsSecFeedde2026-08-24T09:01:42.122310+00:00Actively Learning Joint Contours of Multiple Computer Experimentshttps://blog.schoergendorfer.com/post/deterministic-and-probabilistic-neural-surrogates-of-global-hybrid-vlasov-simulaSecFeedde2026-08-24T09:01:42.098209+00:00Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulationshttps://blog.schoergendorfer.com/post/query-efficient-structured-matrix-learningSecFeedde2026-08-24T09:01:42.072640+00:00Query Efficient Structured Matrix Learninghttps://blog.schoergendorfer.com/post/cpc-cms-cognitive-pairwise-comparison-classification-model-selection-framework-f-2SecFeedde2026-08-24T09:01:42.045463+00:00CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysishttps://blog.schoergendorfer.com/post/regression-based-estimation-of-causal-effects-in-the-presence-of-selection-biasSecFeedde2026-08-24T09:01:42.017377+00:00Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confoundinghttps://blog.schoergendorfer.com/post/the-intrinsic-dimension-of-prompts-in-internal-representations-of-large-languageSecFeedde2026-08-24T09:01:41.990685+00:00The Intrinsic Dimension of Prompts in Internal Representations of Large Language Modelshttps://blog.schoergendorfer.com/post/agentic-esopt-fine-tuning-long-horizon-llm-agents-with-minimal-gpu-requirements-2SecFeedde2026-08-24T08:46:33.301711+00:00Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirementshttps://blog.schoergendorfer.com/post/geo-flag-detecting-and-measuring-geo-optimized-web-content-2SecFeedde2026-08-24T08:46:33.266406+00:00GEO-Flag: Detecting and Measuring GEO-Optimized Web Contenthttps://blog.schoergendorfer.com/post/towards-truly-unsupervised-evaluation-of-feature-selection-2SecFeedde2026-08-24T08:46:33.231068+00:00Towards Truly Unsupervised Evaluation of Feature Selectionhttps://blog.schoergendorfer.com/post/when-does-forecasting-reveal-temporal-structure-a-stability-analysis-of-time-serSecFeedde2026-08-24T08:46:33.195045+00:00When Does Forecasting Reveal Temporal Structure? 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Sparsityhttps://blog.schoergendorfer.com/post/learning-minimal-deviation-corrections-for-multi-dimensional-mismodelling-in-hepSecFeedde2026-08-24T08:46:32.973586+00:00Learning Minimal-Deviation Corrections for Multi-Dimensional Mismodelling in HEP Simulationshttps://blog.schoergendorfer.com/post/calibrate-then-delegate-safety-monitoring-with-risk-and-budget-guarantees-via-moSecFeedde2026-08-24T08:46:32.947004+00:00Calibrate-Then-Delegate: Safety Monitoring with Risk and Budget Guarantees via Model Cascadeshttps://blog.schoergendorfer.com/post/degree-mass-message-passing-for-betweenness-ranking-in-directed-and-undirected-nSecFeedde2026-08-24T08:46:32.917601+00:00Degree-Mass Message Passing for Betweenness Ranking in Directed and Undirected Networkshttps://blog.schoergendorfer.com/post/interpretable-clustering-via-optimal-multi-way-decision-treesSecFeedde2026-08-24T08:46:32.887264+00:00Interpretable clustering via optimal multi-way decision treeshttps://blog.schoergendorfer.com/post/maximum-likelihood-reinforcement-learning-2SecFeedde2026-08-24T08:46:32.860072+00:00Maximum Likelihood Reinforcement Learninghttps://blog.schoergendorfer.com/post/generalization-measures-under-controlled-covariate-shift-a-regime-aware-benchmarSecFeedde2026-08-24T08:46:32.806326+00:00Generalization Measures under Controlled Covariate Shift: A Regime-Aware Benchmarkhttps://blog.schoergendorfer.com/post/efficient-inference-for-inverse-reinforcement-learning-and-dynamic-discrete-choiSecFeedde2026-08-24T08:46:32.747174+00:00Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Modelshttps://blog.schoergendorfer.com/post/spatially-aware-dictionary-free-koopman-eigenfunction-identification-for-modelinSecFeedde2026-08-24T08:31:21.818588+00:00Spatially Aware Dictionary-Free Koopman Eigenfunction Identification for Modeling and 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Effecthttps://blog.schoergendorfer.com/post/hip-hessian-interatomic-potentials-without-derivativesSecFeedde2026-08-24T08:31:21.701026+00:00HIP: Hessian Interatomic Potentials without derivativeshttps://blog.schoergendorfer.com/post/reinforcing-multi-turn-reasoning-in-llm-agents-via-fine-grained-reward-structureSecFeedde2026-08-24T08:31:21.680430+00:00Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignmenthttps://blog.schoergendorfer.com/post/smart-exploration-in-reinforcement-learning-using-bounded-uncertainty-modelsSecFeedde2026-08-24T08:31:21.656542+00:00Smart Exploration in Reinforcement Learning using Bounded Uncertainty Modelshttps://blog.schoergendorfer.com/post/structure-is-information-structural-identifiability-mappings-for-machine-learninSecFeedde2026-08-24T08:31:21.632271+00:00Structure is information: structural identifiability mappings for machine learning with partially observed dynamical systemshttps://blog.schoergendorfer.com/post/federated-and-differentially-private-estimation-of-kl-divergenceSecFeedde2026-08-24T08:31:21.607427+00:00Federated and differentially private estimation of KL divergencehttps://blog.schoergendorfer.com/post/forecasting-with-an-n-dimensional-langevin-equation-and-a-neural-ordinary-differSecFeedde2026-08-24T08:31:21.584015+00:00Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equationhttps://blog.schoergendorfer.com/post/exact-and-general-decoupled-solutions-of-the-lmc-multitask-gaussian-process-modeSecFeedde2026-08-24T08:31:21.561170+00:00Exact and general decoupled solutions of the LMC Multitask Gaussian Process modelhttps://blog.schoergendorfer.com/post/the-exceedance-design-effect-effective-sample-size-for-thresholds-under-clusteriSecFeedde2026-08-24T08:31:21.493558+00:00The Exceedance Design Effect: Effective Sample Size for Thresholds under Clusteringhttps://blog.schoergendorfer.com/post/on-the-transferability-of-agricultural-weed-detection-under-cross-field-distribuSecFeedde2026-08-24T08:31:21.467900+00:00On the Transferability of Agricultural Weed Detection Under Cross-Field Distribution Shifthttps://blog.schoergendorfer.com/post/advanced-linear-algebra-with-applications-part-i-numerical-linear-algebra-for-pdSecFeedde2026-08-24T08:31:21.442494+00:00Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)https://blog.schoergendorfer.com/post/event-triggered-implicit-perturbation-for-zeroth-order-fine-tuning-of-spiking-trSecFeedde2026-08-24T08:31:21.417912+00:00Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformershttps://blog.schoergendorfer.com/post/beyond-imitation-self-improving-robot-policies-via-off-policy-q-planningSecFeedde2026-08-24T08:31:21.390904+00:00Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planninghttps://blog.schoergendorfer.com/post/comet-contrastive-motion-enhanced-temporal-reasoning-for-video-multimodal-largeSecFeedde2026-08-24T08:16:19.869850+00:00COMET: Contrastive Motion-Enhanced Temporal Reasoning for Video Multimodal Large Language Modelshttps://blog.schoergendorfer.com/post/from-a-static-multi-level-small-semantic-codebook-to-a-dynamic-single-level-largSecFeedde2026-08-24T08:16:19.847000+00:00From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendationhttps://blog.schoergendorfer.com/post/evirank-structured-relevance-evidence-for-multimodal-image-re-rankingSecFeedde2026-08-24T08:16:19.803892+00:00EviRank: Structured Relevance Evidence for Multimodal Image Re-rankinghttps://blog.schoergendorfer.com/post/sharing-the-control-authority-between-deep-reinforcement-learning-and-model-predSecFeedde2026-08-24T08:16:19.780491+00:00Sharing the Control Authority Between Deep Reinforcement 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Micro-Ultrasoundhttps://blog.schoergendorfer.com/post/aixamine-unified-black-box-evaluation-of-cross-dimensional-trade-offs-in-llm-safSecFeedde2026-08-24T08:16:19.523309+00:00aiXamine: Unified Black-Box Evaluation of Cross-Dimensional Trade-offs in LLM Safety, Security, and Privacyhttps://blog.schoergendorfer.com/post/keep-your-friends-close-and-the-right-neighbours-closer-disaster-conditioned-kerSecFeedde2026-08-24T08:16:19.495923+00:00Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classificationhttps://blog.schoergendorfer.com/post/uncertainty-propagation-in-auto-regressive-random-neural-network-modelsSecFeedde2026-08-24T08:16:19.470779+00:00Uncertainty propagation in auto-regressive random neural network modelshttps://blog.schoergendorfer.com/post/robust-discovery-of-coarse-grained-continuum-equations-from-microscopic-dynamicsSecFeedde2026-08-24T08:02:15.785939+00:00Robust Discovery of Coarse-Grained Continuum Equations from Microscopic Dynamicshttps://blog.schoergendorfer.com/post/interpretable-information-decomposed-brain-graph-learning-for-fmri-based-diseaseSecFeedde2026-08-24T08:02:15.762431+00:00Interpretable Information-Decomposed Brain Graph Learning for fMRI-based Disease Diagnosishttps://blog.schoergendorfer.com/post/if-it-walks-like-an-arbitrage-protocol-agnostic-detection-with-decidable-structuSecFeedde2026-08-24T08:02:15.735020+00:00If It Walks Like an Arbitrage: Protocol-Agnostic Detection with Decidable Structural Equivalencehttps://blog.schoergendorfer.com/post/th-gnn-heterogeneous-temporal-graph-neural-networks-for-llm-agent-shilling-attacSecFeedde2026-08-24T08:02:15.706769+00:00TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detectionhttps://blog.schoergendorfer.com/post/harmonic-torsional-diffusion-for-protein-ligand-flexible-dockingSecFeedde2026-08-24T08:02:15.681024+00:00Harmonic Torsional Diffusion for Protein-Ligand Flexible Dockinghttps://blog.schoergendorfer.com/post/multilingual-verifier-bias-in-rlvr-benchmark-rollout-diagnosis-and-the-cross-linSecFeedde2026-08-24T08:02:15.656952+00:00Multilingual Verifier Bias in RLVR: Benchmark, Rollout Diagnosis, and the Cross-Lingual Selection Bottleneckhttps://blog.schoergendorfer.com/post/triplu-bypassing-the-gate-with-direct-trilinear-product-ffns-in-tiny-language-moSecFeedde2026-08-24T08:02:15.633783+00:00TriPLU: Bypassing the Gate with Direct Trilinear Product FFNs in Tiny Language Modelshttps://blog.schoergendorfer.com/post/exploratory-as-analyzed-no-detection-of-culturally-marked-predicate-triggered-piSecFeedde2026-08-24T08:02:15.610152+00:00Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded Audithttps://blog.schoergendorfer.com/post/asymmetric-capacity-allocation-in-self-refinement-pipelinesSecFeedde2026-08-24T08:02:15.586064+00:00Asymmetric Capacity Allocation in Self-Refinement Pipelineshttps://blog.schoergendorfer.com/post/across-design-uncertainty-in-short-pricing-panels-evidence-from-simulated-priceSecFeedde2026-08-24T08:02:15.563946+00:00Across-Design Uncertainty in Short Pricing Panels: Evidence from Simulated Price Trajectorieshttps://blog.schoergendorfer.com/post/rethinking-expressivity-and-efficiency-in-test-time-trainingSecFeedde2026-08-24T08:02:15.510427+00:00Rethinking Expressivity and Efficiency in Test-Time Traininghttps://blog.schoergendorfer.com/post/sparcl-spectral-partitioned-analytic-continual-learningSecFeedde2026-08-24T08:02:15.483561+00:00SPARCL: Spectral Partitioned Analytic Continual Learninghttps://blog.schoergendorfer.com/post/trace-c-rank-calibrated-relational-anomaly-detection-for-multi-stream-operationaSecFeedde2026-08-24T08:02:15.459182+00:00TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetryhttps://blog.schoergendorfer.com/post/conceptts-llm-guided-concept-bottlenecks-for-interpretable-multivariate-time-serSecFeedde2026-08-24T08:02:15.431653+00:00ConceptTS: LLM-Guided Concept Bottlenecks for Interpretable Multivariate Time-Series Forecastinghttps://blog.schoergendorfer.com/post/a-neurosymbolic-approach-for-constructing-planning-domain-models-from-clinical-nSecFeedde2026-08-24T08:02:15.385526+00:00A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narrativeshttps://blog.schoergendorfer.com/post/thermo-fl-thermal-aware-robust-federated-fine-tuning-of-large-language-models-foSecFeedde2026-08-24T08:02:15.358826+00:00Thermo-FL: Thermal-Aware Robust Federated Fine-Tuning of Large Language Models for Edge AIhttps://blog.schoergendorfer.com/post/coec-calibrated-orthogonal-equivalence-compensation-for-structured-pruning-of-laSecFeedde2026-08-24T08:02:15.309132+00:00COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Modelshttps://blog.schoergendorfer.com/post/backdfl-a-unified-benchmark-for-backdoor-attacks-and-defenses-in-decentralized-fSecFeedde2026-08-24T07:46:28.675732+00:00BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learninghttps://blog.schoergendorfer.com/post/causal-modeling-of-adverse-pregnancy-outcomes-via-adaptive-llm-proposalsSecFeedde2026-08-24T07:46:28.627736+00:00Causal Modeling of Adverse Pregnancy Outcomes via Adaptive LLM Proposalshttps://blog.schoergendorfer.com/post/designing-a-robust-llm-based-evaluation-system-for-agentic-ai-in-drug-discoverySecFeedde2026-08-24T07:46:28.598494+00:00Designing a Robust LLM-Based Evaluation System for Agentic AI in Drug Discovery Through Human Alignmenthttps://blog.schoergendorfer.com/post/rode-a-radial-orthogonal-decoupled-engine-for-optimizationSecFeedde2026-08-24T07:46:28.571272+00:00RODE: A Radial-Orthogonal Decoupled Engine for Optimizationhttps://blog.schoergendorfer.com/post/free-probability-kernels-for-zero-rollout-hyperparameter-selection-in-reservoirSecFeedde2026-08-24T07:46:28.547110+00:00Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computinghttps://blog.schoergendorfer.com/post/trojaning-the-alignment-stealthy-backdoor-attacks-against-graph-foundation-modelSecFeedde2026-08-24T07:46:28.522753+00:00Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation Modelshttps://blog.schoergendorfer.com/post/a-critical-audit-of-spatiotemporal-forecasting-benchmark-datasets-and-baselinesSecFeedde2026-08-24T07:46:28.498983+00:00A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Baselineshttps://blog.schoergendorfer.com/post/training-learning-and-inference-unified-dynamics-of-neural-systemsSecFeedde2026-08-24T07:46:28.474712+00:00Training, learning and inference: unified dynamics of neural systemshttps://blog.schoergendorfer.com/post/decoupling-policy-extraction-for-offline-reinforcement-learningSecFeedde2026-08-24T07:46:28.452032+00:00Decoupling Policy Extraction for Offline Reinforcement Learninghttps://blog.schoergendorfer.com/post/nothing-changed-but-the-model-cellfill-bounded-in-cell-learning-for-bit-identicaSecFeedde2026-08-24T07:46:28.427129+00:00Nothing Changed but the Model: CellFill -- Bounded In-Cell Learning for Bit-Identical, Revocable Updates to Quantized LLMshttps://blog.schoergendorfer.com/post/hidden-axis-of-uncertainty-latent-posterior-alignment-in-graph-neural-networks-wSecFeedde2026-08-24T07:46:28.383990+00:00Hidden Axis of Uncertainty: Latent-Posterior Alignment in Graph Neural Networks with Bayesian Output 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