https://blog.schoergendorfer.com/post/building-custom-batched-ensemble-weather-forecasting-with-nvidia-earth2studioSecFeedde2026-08-29T19:03:26.463743+00:00Building Custom Batched Ensemble Weather Forecasting with NVIDIA Earth2Studiohttps://blog.schoergendorfer.com/post/deadlock-ransomware-breaking-down-a-rust-based-encryptor-with-decentralized-reco-2SecFeedde2026-08-29T15:48:14.570171+00:00DeadLock ransomware: Breaking down a Rust-based encryptor with decentralized recovery infrastructurehttps://blog.schoergendorfer.com/post/hunting-macsync-stealer-infrastructure-through-behavioral-pivots-2SecFeedde2026-08-29T15:48:14.523306+00:00Hunting MacSync Stealer infrastructure through behavioral pivotshttps://blog.schoergendorfer.com/post/when-ai-infrastructure-becomes-the-target-securing-gateways-and-control-points-2SecFeedde2026-08-29T15:48:14.483411+00:00When AI infrastructure becomes the target: Securing gateways and control pointshttps://blog.schoergendorfer.com/post/your-container-runs-everything-around-it-shouldnt-be-your-problemSecFeedde2026-08-29T15:17:50.257164+00:00Your container runs. Everything around it shouldn’t be your problem.https://blog.schoergendorfer.com/post/google-ai-releases-gemini-omni-11-flash-40-second-scene-extension-firstlast-framSecFeedde2026-08-29T14:47:40.136537+00:00Google AI Releases Gemini Omni 1.1 Flash: 40-Second Scene Extension, First/Last Frame Control, and 4K Upscalinghttps://blog.schoergendorfer.com/post/commits-on-github-have-doubled-in-four-months-verification-capacity-has-notSecFeedde2026-08-29T14:02:59.106180+00:00Commits on GitHub have doubled in four months. Verification capacity has not.https://blog.schoergendorfer.com/post/the-3-roles-ai-agents-play-in-your-developer-platformSecFeedde2026-08-29T13:02:36.906235+00:00The 3 roles AI agents play in your developer platformhttps://blog.schoergendorfer.com/post/hugging-face-unveils-microduck-a-399-open-source-25-cm-biped-you-train-with-reinSecFeedde2026-08-29T05:32:22.979501+00:00Hugging Face Unveils Microduck: A $399 Open-Source 25 cm Biped You Train with Reinforcement Learninghttps://blog.schoergendorfer.com/post/ainews-openai-shuts-off-cursorSecFeedde2026-08-29T05:17:40.209566+00:00[AINews] OpenAI shuts off Cursorhttps://blog.schoergendorfer.com/post/terminalfix-campaign-deploys-a-reverse-tunnel-through-multistage-intrusionSecFeedde2026-08-29T05:17:40.139774+00:00TerminalFix campaign deploys a reverse tunnel through multistage intrusionhttps://blog.schoergendorfer.com/post/kubernetes-v137-pod-certificates-and-cluster-trust-bundlesSecFeedde2026-08-29T01:02:36.312902+00:00Kubernetes v1.37: Pod Certificates and Cluster Trust Bundleshttps://blog.schoergendorfer.com/post/amazon-bedrock-agentcore-memory-now-supports-fine-grained-access-controlSecFeedde2026-08-28T23:17:43.995060+00:00Amazon Bedrock AgentCore Memory now supports fine-grained access controlhttps://blog.schoergendorfer.com/post/amazon-ec2-c8gn-instances-are-now-available-in-aws-europe-paris-regionSecFeedde2026-08-28T23:17:43.945064+00:00Amazon EC2 C8gn instances are now available in AWS Europe (Paris) regionhttps://blog.schoergendorfer.com/post/just-a-rumour-of-a-bug-is-enough-to-find-a-security-exploit-these-daysSecFeedde2026-08-28T22:32:24.227518+00:00Just a rumour of a bug is enough to find a security exploit these dayshttps://blog.schoergendorfer.com/post/jetbrains-told-everyone-to-patch-it-didnt-patch-itselfSecFeedde2026-08-28T21:02:33.810821+00:00JetBrains told everyone to patch. It didn’t patch itself.https://blog.schoergendorfer.com/post/cybersecurity-researchers-uncover-flaw-in-google-ai-coding-toolSecFeedde2026-08-28T19:48:02.410368+00:00Cybersecurity Researchers Uncover Flaw in Google AI Coding Toolhttps://blog.schoergendorfer.com/post/batch-write-and-discover-records-in-amazon-sagemaker-feature-storeSecFeedde2026-08-28T19:48:02.372829+00:00Batch write and discover records in Amazon SageMaker Feature Storehttps://blog.schoergendorfer.com/post/amazon-cloudwatch-agent-adds-support-for-journald-logsSecFeedde2026-08-28T19:19:08.503022+00:00Amazon CloudWatch agent adds support for journald logshttps://blog.schoergendorfer.com/post/amazon-ec2-p6-b300-instances-are-now-available-in-additional-aws-regionsSecFeedde2026-08-28T19:19:08.468360+00:00Amazon EC2 P6-B300 instances are now available in additional AWS Regionshttps://blog.schoergendorfer.com/post/glm-53-flash-vs-qwen38-flash-next-two-chinese-ai-labs-independently-converge-onSecFeedde2026-08-28T19:19:08.442446+00:00GLM-5.3-Flash vs Qwen3.8-Flash-Next: Two Chinese AI Labs Independently Converge on the Same Model Architecturehttps://blog.schoergendorfer.com/post/extend-your-data-perimeter-to-the-aws-management-console-with-private-accessSecFeedde2026-08-28T19:02:50.586723+00:00Extend your data perimeter to the AWS Management Console with Private Accesshttps://blog.schoergendorfer.com/post/lm-studio-built-a-judge-for-ai-commands-then-the-judge-started-agreeing-with-theSecFeedde2026-08-28T18:48:52.729617+00:00LM Studio built a judge for AI commands. Then the judge started agreeing with the defendant.https://blog.schoergendorfer.com/post/alibaba-just-released-qwen38-flash-an-early-preview-of-the-architecture-in-qwen4SecFeedde2026-08-28T18:33:04.061403+00:00Alibaba just released Qwen3.8-Flash: “An early preview of the architecture in Qwen4”https://blog.schoergendorfer.com/post/certificate-renewal-is-a-deployment-workflow-not-a-cron-jobSecFeedde2026-08-28T18:03:51.366829+00:00Certificate Renewal Is a Deployment Workflow, Not a Cron Jobhttps://blog.schoergendorfer.com/post/zais-glm-53-goes-open-weight-but-its-new-license-aims-at-hyperscalersSecFeedde2026-08-28T17:48:03.109793+00:00Z.ai’s GLM-5.3 goes open weight, but its new license aims at hyperscalershttps://blog.schoergendorfer.com/post/vercel-ai-open-sources-vgpu-a-typescript-webgpu-library-for-ai-agent-shadersSecFeedde2026-08-28T17:48:03.071679+00:00Vercel AI Open-Sources vgpu: A TypeScript WebGPU Library for AI Agent Shadershttps://blog.schoergendorfer.com/post/amazon-aurora-mysql-313-compatible-with-mysql-8045-is-generally-availableSecFeedde2026-08-28T17:17:56.365258+00:00Amazon Aurora MySQL 3.13 (compatible with MySQL 8.0.45) is generally availablehttps://blog.schoergendorfer.com/post/spreading-the-load-how-salesforce-met-multi-az-ha-with-sagemaker-inference-compoSecFeedde2026-08-28T16:34:41.037289+00:00Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Componentshttps://blog.schoergendorfer.com/post/how-decathlon-runs-demand-forecasting-at-scale-with-chronos-2SecFeedde2026-08-28T16:34:40.998467+00:00How Decathlon runs demand forecasting at scale with Chronos-2https://blog.schoergendorfer.com/post/what-does-it-cost-to-get-kubernetes-operations-wrongSecFeedde2026-08-28T16:25:20.953277+00:00What Does It Cost to Get Kubernetes Operations Wrong?https://blog.schoergendorfer.com/post/nvidia-is-paying-129-billion-to-keep-open-models-on-its-chipsSecFeedde2026-08-28T16:04:08.432244+00:00Nvidia is paying $12.9 billion to keep open models on its chipshttps://blog.schoergendorfer.com/post/why-a-cryptographic-inventory-is-key-for-addressing-the-quantum-computing-threatSecFeedde2026-08-28T14:18:29.362230+00:00Why a cryptographic inventory is key for addressing the quantum computing threathttps://blog.schoergendorfer.com/post/build-your-own-continuous-modernization-pipeline-with-aws-transform-customSecFeedde2026-08-28T13:36:13.414711+00:00Build your own continuous modernization pipeline with AWS Transform customhttps://blog.schoergendorfer.com/post/botbase-for-operators-a-clearer-path-to-joining-cloudflares-directory-of-bots-anSecFeedde2026-08-28T13:36:13.265550+00:00BotBase for Operators: A clearer path to joining Cloudflare's directory of bots and agentshttps://blog.schoergendorfer.com/post/scale-before-the-spike-predictive-autoscaling-for-gpu-workloads-on-kubernetesSecFeedde2026-08-28T13:21:24.547152+00:00Scale before the spike: Predictive autoscaling for GPU workloads on Kuberneteshttps://blog.schoergendorfer.com/post/ai-doesnt-mean-the-end-of-mathematicsat-least-not-yetSecFeedde2026-08-28T13:21:24.443143+00:00AI Doesn’t Mean the End of Mathematics—at Least Not Yethttps://blog.schoergendorfer.com/post/your-kubernetes-platform-is-ready-for-containers-is-it-ready-for-aiSecFeedde2026-08-28T13:21:24.178443+00:00Your Kubernetes platform is ready for containers. Is it ready for AI?https://blog.schoergendorfer.com/post/papercut-ngmf-critical-zero-day-exploited-in-the-wildSecFeedde2026-08-28T13:21:22.835899+00:00PaperCut NG/MF Critical Zero-Day Exploited in the Wildhttps://blog.schoergendorfer.com/post/ainews-openai-to-reach-agi-bar-by-end-2026SecFeedde2026-08-28T12:49:41.387972+00:00[AINews] OpenAI to reach AGI bar by end-2026https://blog.schoergendorfer.com/post/some-malicious-pe-stats-thu-aug-27thSecFeedde2026-08-28T12:34:32.161476+00:00Some Malicious PE Stats, (Thu, Aug 27th)https://blog.schoergendorfer.com/post/google-ai-releases-gemini-35-transcribe-a-speech-to-text-model-reporting-26-averSecFeedde2026-08-28T11:50:18.907044+00:00Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languageshttps://blog.schoergendorfer.com/post/managed-postgresql-vs-self-hosted-postgresql-key-benefits-and-trade-offsSecFeedde2026-08-28T11:50:18.827480+00:00Managed PostgreSQL vs. self-hosted PostgreSQL: Key benefits and trade-offshttps://blog.schoergendorfer.com/post/et-prune-evidence-aware-dynamic-budgeting-for-visual-token-pruning-in-text-rich-2SecFeedde2026-08-28T11:34:43.528280+00:00ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMshttps://blog.schoergendorfer.com/post/culturevidbench-benchmarking-cultural-understanding-in-text-to-video-generation-2SecFeedde2026-08-28T11:34:43.494145+00:00CultureVidBench: Benchmarking Cultural Understanding in Text-to-Video Generationhttps://blog.schoergendorfer.com/post/not-truly-multilingual-script-consistency-as-a-missing-dimension-in-vlm-evaluati-2SecFeedde2026-08-28T11:34:43.460433+00:00Not Truly Multilingual: Script Consistency as a Missing Dimension in VLM Evaluationhttps://blog.schoergendorfer.com/post/an-embarrassingly-simple-detector-for-model-extraction-attacks-in-large-languageSecFeedde2026-08-28T11:34:43.427648+00:00An Embarrassingly Simple Detector for Model Extraction Attacks in Large Language Model API Traffichttps://blog.schoergendorfer.com/post/visa-agentic-self-evolving-data-synthesis-for-multimodal-instruction-following-2SecFeedde2026-08-28T11:34:43.394213+00:00VISA: Agentic Self-Evolving Data Synthesis for Multimodal Instruction Followinghttps://blog.schoergendorfer.com/post/clueweaver-reward-guided-dual-agent-evidence-reasoning-for-compact-llms-on-liter-2SecFeedde2026-08-28T11:34:43.360984+00:00ClueWeaver: Reward-Guided Dual-Agent Evidence Reasoning for Compact LLMs on Literary Long Narrativeshttps://blog.schoergendorfer.com/post/unveiling-spectral-mechanisms-in-training-free-llm-text-detection-2SecFeedde2026-08-28T11:34:43.324206+00:00Unveiling Spectral Mechanisms in Training-Free LLM Text Detectionhttps://blog.schoergendorfer.com/post/fireredaudio-a-general-purpose-audio-language-model-with-decoupled-continuous-reSecFeedde2026-08-28T11:34:43.295490+00:00FireRedAudio: A General-Purpose Audio Language Model with Decoupled Continuous Representations for Understanding and Generationhttps://blog.schoergendorfer.com/post/aligned-alone-misaligned-together-forecasting-adversarial-capture-in-llm-agent-p-2SecFeedde2026-08-28T11:34:43.262879+00:00Aligned Alone, Misaligned Together: Forecasting Adversarial Capture in LLM Agent Populationshttps://blog.schoergendorfer.com/post/gui-primitives-diagnosing-spatial-reasoning-failures-in-vision-language-gui-grou-2SecFeedde2026-08-28T11:34:43.232760+00:00GUI-Primitives: Diagnosing Spatial Reasoning Failures in Vision-Language GUI Groundinghttps://blog.schoergendorfer.com/post/training-agents-to-evolve-with-their-harness-taolive-digital-avatar-agent-techni-2SecFeedde2026-08-28T11:34:43.200205+00:00Training Agents to Evolve with Their Harness: TaoLive Digital Avatar Agent Technical Reporthttps://blog.schoergendorfer.com/post/why-knowing-both-hops-is-not-enough-understanding-two-hop-generalization-in-lang-2SecFeedde2026-08-28T11:34:43.165653+00:00Why Knowing Both Hops Is Not Enough: Understanding Two-Hop Generalization in Language Modelshttps://blog.schoergendorfer.com/post/selective-state-space-adaptation-and-retrieval-for-language-model-reasoning-2SecFeedde2026-08-28T11:34:43.134262+00:00Selective State-Space Adaptation and Retrieval for Language Model Reasoninghttps://blog.schoergendorfer.com/post/the-score-granularity-gap-in-black-box-llm-classification-a-comparative-study-ofSecFeedde2026-08-28T11:34:43.097854+00:00The Score Granularity Gap in Black-Box LLM Classification: A Comparative Study of Confidence Constructionshttps://blog.schoergendorfer.com/post/non-binary-bottom-up-constituency-parsing-without-arity-actions-2SecFeedde2026-08-28T11:34:43.061747+00:00Non-binary bottom-up constituency parsing without arity actionshttps://blog.schoergendorfer.com/post/skillchain-closing-the-loop-on-skill-evolution-for-image-based-e-commerce-ai-assSecFeedde2026-08-28T11:34:43.020008+00:00SkillChain: Closing the Loop on Skill Evolution for Image-Based E-Commerce AI Assistantshttps://blog.schoergendorfer.com/post/forward-free-diffusion-language-models-with-bptt-free-looped-refinementSecFeedde2026-08-28T11:20:22.090181+00:00Forward-Free Diffusion Language Models with BPTT-Free Looped Refinementhttps://blog.schoergendorfer.com/post/the-cold-start-safety-gap-in-llm-agentsSecFeedde2026-08-28T11:20:22.061362+00:00The Cold-Start Safety Gap in LLM Agentshttps://blog.schoergendorfer.com/post/many-circuits-one-mechanism-input-variation-and-evaluation-granularity-in-circuiSecFeedde2026-08-28T11:20:22.037274+00:00Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discoveryhttps://blog.schoergendorfer.com/post/cram-centroid-routing-and-adaptive-moe-for-multimodal-continual-instruction-tuniSecFeedde2026-08-28T11:20:22.004816+00:00CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuninghttps://blog.schoergendorfer.com/post/mineexplorer-evaluating-open-world-exploration-of-mllm-agents-in-minecraftSecFeedde2026-08-28T11:20:21.970651+00:00MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecrafthttps://blog.schoergendorfer.com/post/nestedkv-nested-memory-routing-for-long-context-kv-cache-compressionSecFeedde2026-08-28T11:20:21.938681+00:00NestedKV: Nested Memory Routing for Long-Context KV Cache Compressionhttps://blog.schoergendorfer.com/post/contextecho-a-benchmark-for-persona-drift-in-long-agentic-coding-sessionsSecFeedde2026-08-28T11:20:21.904247+00:00ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessionshttps://blog.schoergendorfer.com/post/traces-tagging-reasoning-steps-for-adaptive-cost-efficient-early-stoppingSecFeedde2026-08-28T11:20:21.868629+00:00TRACES: Tagging Reasoning Steps for Adaptive Cost-Efficient Early-Stoppinghttps://blog.schoergendorfer.com/post/datastorm-deep-research-on-large-scale-databases-using-exploratory-data-analysis-2SecFeedde2026-08-28T11:20:21.835470+00:00DataSTORM: Deep Research on Large-Scale Databases using Exploratory Data Analysis and Data Storytellinghttps://blog.schoergendorfer.com/post/addressing-the-reasoning-gap-mechanistic-circuit-based-knowledge-editing-in-larg-2SecFeedde2026-08-28T11:20:21.796548+00:00Addressing the Reasoning Gap: Mechanistic Circuit-Based Knowledge Editing in Large Language Modelshttps://blog.schoergendorfer.com/post/many-dialects-many-languages-one-cultural-lens-evaluating-multilingual-vlms-forSecFeedde2026-08-28T11:20:21.727738+00:00Many Dialects, Many Languages, One Cultural Lens: Evaluating Multilingual VLMs for Bengali Culture Understanding Across Historically Linked Languages and Regional Dialectshttps://blog.schoergendorfer.com/post/spar-k-scheduled-periodic-alternating-early-exit-for-spoken-language-modelsSecFeedde2026-08-28T11:20:21.697887+00:00SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language Modelshttps://blog.schoergendorfer.com/post/maple-metadata-conditioned-llm-pretraining-for-locale-aware-question-answeringSecFeedde2026-08-28T11:20:21.629905+00:00MAPLE: Metadata Conditioned LLM Pretraining for Locale-Aware Question Answeringhttps://blog.schoergendorfer.com/post/topiclear-adaptive-embedding-clustering-for-interpretable-topic-discovery-from-sSecFeedde2026-08-28T11:20:21.592923+00:00TopiCLEAR: Adaptive embedding clustering for interpretable topic discovery from short textshttps://blog.schoergendorfer.com/post/are-large-language-models-effective-knowledge-graph-constructorsSecFeedde2026-08-28T11:20:21.551851+00:00Are Large Language Models Effective Knowledge Graph Constructors?https://blog.schoergendorfer.com/post/legal-rule-induction-towards-generalizable-principle-discovery-from-analogous-juSecFeedde2026-08-28T11:20:21.518130+00:00Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedentshttps://blog.schoergendorfer.com/post/arams-28k-the-largest-publicly-released-line-level-dataset-of-historical-arabicSecFeedde2026-08-28T11:20:21.478713+00:00AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotationshttps://blog.schoergendorfer.com/post/blanc-discovering-patent-white-space-via-changes-in-normalized-pointwise-mutualSecFeedde2026-08-28T11:20:21.430336+00:00BLANC: Discovering Patent White Space via Changes in Normalized Pointwise Mutual Information Between Multi-View Clustershttps://blog.schoergendorfer.com/post/visual-information-guided-parallel-decoding-for-diffusion-multimodal-large-languSecFeedde2026-08-28T11:05:32.027333+00:00Visual Information-Guided Parallel Decoding for Diffusion Multimodal Large Language Modelshttps://blog.schoergendorfer.com/post/assessing-the-downstream-utility-of-evidence-aware-retrieval-in-ragSecFeedde2026-08-28T11:05:31.995341+00:00Assessing the Downstream Utility of Evidence-Aware Retrieval in RAGhttps://blog.schoergendorfer.com/post/mitigating-fabrication-in-multi-stage-llm-pipelines-for-hiring-an-empirical-evalSecFeedde2026-08-28T11:05:31.966218+00:00Mitigating Fabrication in Multi-Stage LLM Pipelines for Hiring: An Empirical Evaluation of Prompt Guardrails and Human-in-the-Loop Checkpointshttps://blog.schoergendorfer.com/post/criticl-inference-time-weak-to-strong-generalization-from-small-language-model-fSecFeedde2026-08-28T11:05:31.937197+00:00CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modeshttps://blog.schoergendorfer.com/post/ttpo-test-time-policy-optimizationSecFeedde2026-08-28T11:05:31.907529+00:00TTPO: Test-Time Policy Optimizationhttps://blog.schoergendorfer.com/post/stochastic-estimation-of-transduced-language-modelsSecFeedde2026-08-28T11:05:31.877248+00:00Stochastic Estimation of Transduced Language Modelshttps://blog.schoergendorfer.com/post/boosting-llm-exploration-via-weak-model-guidance-in-rlvrSecFeedde2026-08-28T11:05:31.846877+00:00Boosting LLM Exploration via Weak-Model Guidance in RLVRhttps://blog.schoergendorfer.com/post/consolidating-rlvr-capabilities-across-domains-a-deep-dive-into-fusion-paradigmsSecFeedde2026-08-28T11:05:31.815721+00:00Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigmshttps://blog.schoergendorfer.com/post/ratio-a-benchmark-for-retrieval-across-typed-ideation-operations-in-scientific-lSecFeedde2026-08-28T11:05:31.783705+00:00RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literaturehttps://blog.schoergendorfer.com/post/intent-as-a-tool-makes-it-easy-to-track-agentic-misalignmentSecFeedde2026-08-28T11:05:31.671483+00:00INTENT-AS-A-TOOL Makes it Easy to Track Agentic Misalignmenthttps://blog.schoergendorfer.com/post/pair-level-essay-scale-republication-and-reuse-from-fragmented-historical-text-rSecFeedde2026-08-28T11:05:31.642079+00:00Pair-Level Essay-Scale Republication and Reuse from Fragmented Historical Text Reuse: A Workflow Study on Eighteenth-Century Books and Newspapershttps://blog.schoergendorfer.com/post/bts-agentbench-a-deterministic-replayable-pipeline-from-read-only-telemetry-logsSecFeedde2026-08-28T11:05:31.604462+00:00BTS-AgentBench: A Deterministic, Replayable Pipeline from Read-Only Telemetry Logs to Agent Benchmarkshttps://blog.schoergendorfer.com/post/scit-testing-causal-cache-carriers-in-latent-chain-of-thought-modelsSecFeedde2026-08-28T11:05:31.577513+00:00SCIT: Testing Causal Cache Carriers in Latent Chain-of-Thought Modelshttps://blog.schoergendorfer.com/post/balms-benchmarking-agentic-llms-for-longitudinal-mental-health-sensingSecFeedde2026-08-28T11:05:31.549529+00:00BALMS: Benchmarking Agentic LLMs for Longitudinal Mental Health Sensinghttps://blog.schoergendorfer.com/post/prediction-of-prediction-pop-inter-layer-activation-fusion-for-single-pass-halluSecFeedde2026-08-28T11:05:31.522805+00:00Prediction of Prediction (PoP): Inter-Layer Activation Fusion for Single-Pass Hallucination Detection in Large Language Modelshttps://blog.schoergendorfer.com/post/twinkv-a-composable-repair-pass-for-kv-cache-eviction-via-pairwise-key-redundancSecFeedde2026-08-28T10:49:29.425225+00:00TwinKV: A Composable Repair Pass for KV Cache Eviction via Pairwise Key Redundancyhttps://blog.schoergendorfer.com/post/cross-lingual-alignment-without-joint-training-do-monolingual-language-models-coSecFeedde2026-08-28T10:49:29.397835+00:00Cross-Lingual Alignment Without Joint Training: Do Monolingual Language Models Converge on Universal Representations?https://blog.schoergendorfer.com/post/doctalkbn-a-novel-dataset-of-expert-telemedicine-conversations-in-bengaliSecFeedde2026-08-28T10:49:29.363919+00:00DocTalkBN: A Novel Dataset of Expert Telemedicine Conversations in Bengalihttps://blog.schoergendorfer.com/post/representing-and-parsing-korean-constituency-structure-at-different-levels-of-grSecFeedde2026-08-28T10:49:29.276243+00:00Representing and Parsing Korean Constituency Structure at Different Levels of Granularityhttps://blog.schoergendorfer.com/post/itl-interpretable-document-alignment-with-structured-reference-frameworksSecFeedde2026-08-28T10:49:29.244669+00:00ITL: Interpretable Document Alignment with Structured Reference Frameworkshttps://blog.schoergendorfer.com/post/judgestealer-extracting-llm-judging-capabilities-across-evaluation-protocolsSecFeedde2026-08-28T10:49:29.218911+00:00JudgeStealer: Extracting LLM Judging Capabilities across Evaluation Protocolshttps://blog.schoergendorfer.com/post/kinyaembed-contrastive-sentence-embeddings-for-kinyarwanda-via-multi-stage-curriSecFeedde2026-08-28T10:49:29.194840+00:00KinyaEmbed: Contrastive Sentence Embeddings for Kinyarwanda via Multi-Stage Curriculum Traininghttps://blog.schoergendorfer.com/post/mapping-written-words-to-spoken-words-in-a-different-language-using-only-visualSecFeedde2026-08-28T10:49:29.167238+00:00Mapping Written Words to Spoken Words in a Different Language Using Only Visual Groundinghttps://blog.schoergendorfer.com/post/tabulm-morphology-aware-tabular-pre-training-for-low-resource-languagesSecFeedde2026-08-28T10:49:29.135754+00:00TabuLM: Morphology-Aware Tabular Pre-training for Low-Resource Languageshttps://blog.schoergendorfer.com/post/planting-a-latent-variable-in-natural-looking-text-a-more-realistic-test-of-beliSecFeedde2026-08-28T10:49:29.104237+00:00Planting a Latent Variable in Natural-Looking Text: a More Realistic Test of Belief States in LLMs and Their Link to Concept Geometryhttps://blog.schoergendorfer.com/post/ruleweaver-benchmarking-rule-centered-scenario-reasoning-for-large-language-modeSecFeedde2026-08-28T10:49:29.077031+00:00RuleWeaver: Benchmarking Rule-Centered Scenario Reasoning for Large Language Modelshttps://blog.schoergendorfer.com/post/instruction-quality-matters-refining-instructions-for-effective-preference-learnSecFeedde2026-08-28T10:49:29.047173+00:00Instruction Quality Matters: Refining Instructions for Effective Preference Learninghttps://blog.schoergendorfer.com/post/preserving-general-capabilities-during-domain-specialization-with-uncertainty-caSecFeedde2026-08-28T10:49:28.990696+00:00Preserving General Capabilities during Domain Specialization with Uncertainty-Calibrated MOPDhttps://blog.schoergendorfer.com/post/towards-expert-financial-qa-via-self-improving-ragSecFeedde2026-08-28T10:49:28.955221+00:00Towards Expert Financial QA via Self-Improving RAGhttps://blog.schoergendorfer.com/post/scaling-phoneme-based-tts-augmentation-for-asr-a-unified-pipeline-and-controlledSecFeedde2026-08-28T10:49:28.895508+00:00Scaling phoneme-based TTS augmentation for ASR: A unified pipeline and controlled studyhttps://blog.schoergendorfer.com/post/meta-learning-where-to-allocate-experts-task-conditioned-layer-wise-compressionSecFeedde2026-08-28T10:34:01.282705+00:00Meta-Learning Where to Allocate Experts: Task-Conditioned Layer-Wise Compression for MoEshttps://blog.schoergendorfer.com/post/information-guided-frontier-decoding-contextual-utility-driven-commitment-in-dmlSecFeedde2026-08-28T10:34:01.256387+00:00Information-Guided Frontier Decoding: Contextual Utility-Driven Commitment in dMLLMshttps://blog.schoergendorfer.com/post/not-just-reason-not-just-scan-reinforcement-learning-for-proactive-scientific-erSecFeedde2026-08-28T10:34:01.204615+00:00Not Just Reason, Not Just Scan: Reinforcement Learning for Proactive Scientific Error Verification over Academic Paperhttps://blog.schoergendorfer.com/post/surgical-alignment-in-knowledge-graph-training-for-clinical-diagnosis-with-largeSecFeedde2026-08-28T10:34:01.152663+00:00Surgical Alignment in Knowledge Graph Training for Clinical Diagnosis with Large Language Modelshttps://blog.schoergendorfer.com/post/double-trouble-bilingual-pretraining-leaves-language-conditioned-effects-in-sharSecFeedde2026-08-28T10:34:01.119826+00:00Double Trouble: Bilingual Pretraining Leaves Language-Conditioned Effects in Shared-Language Representationshttps://blog.schoergendorfer.com/post/dependency-aware-revocable-decoding-for-efficient-diffusion-large-language-modelSecFeedde2026-08-28T10:34:01.090406+00:00Dependency-Aware Revocable Decoding for Efficient Diffusion Large Language Model Inferencehttps://blog.schoergendorfer.com/post/spt-skills-as-pre-training-data-for-agentic-language-modelsSecFeedde2026-08-28T10:34:01.062125+00:00SPT: Skills as Pre-Training Data for Agentic Language Modelshttps://blog.schoergendorfer.com/post/spear-distilling-domain-adaptive-reasoning-skeletons-via-sequential-symbolic-aliSecFeedde2026-08-28T10:34:01.033045+00:00SPEAR: Distilling Domain-Adaptive Reasoning Skeletons via Sequential Symbolic Alignment in Reinforcement Learninghttps://blog.schoergendorfer.com/post/multi-expert-conformal-risk-control-for-pairwise-llm-judging-in-open-ended-dialoSecFeedde2026-08-28T10:34:01.004332+00:00Multi-Expert Conformal Risk Control for Pairwise LLM Judging in Open-Ended Dialoguehttps://blog.schoergendorfer.com/post/sycophancy-suppression-can-impair-rational-updating-anti-sycophancy-should-preseSecFeedde2026-08-28T10:34:00.976200+00:00Sycophancy Suppression Can Impair Rational Updating: Anti-Sycophancy Should Preserve the Ability to Updatehttps://blog.schoergendorfer.com/post/case2flow-bridging-patient-cases-and-guideline-flowcharts-through-multimodal-retSecFeedde2026-08-28T10:34:00.888076+00:00Case2Flow: Bridging Patient Cases and Guideline Flowcharts through Multimodal Retrievalhttps://blog.schoergendorfer.com/post/mogancolbert-tr-a-late-interaction-multi-vector-retrieval-model-for-turkishSecFeedde2026-08-28T10:34:00.790532+00:00MoganColBERT-TR: A Late-Interaction Multi-Vector Retrieval Model for Turkishhttps://blog.schoergendorfer.com/post/neuro-symbolic-prm-enhancing-scientific-reasoning-via-structured-traces-and-symbSecFeedde2026-08-28T10:34:00.760547+00:00Neuro-symbolic PRM: Enhancing Scientific Reasoning via Structured Traces and Symbolic Verificationhttps://blog.schoergendorfer.com/post/care-causally-aligned-reasoning-exploration-for-medical-large-language-modelsSecFeedde2026-08-28T10:18:31.488216+00:00CARE: Causally-Aligned Reasoning Exploration for Medical Large Language Modelshttps://blog.schoergendorfer.com/post/vagdhenu-a-vrutta-meter-aware-shloka-to-chant-tts-system-for-sanskritSecFeedde2026-08-28T10:18:31.457440+00:00Vagdhenu: A Vrutta (Meter) Aware Shloka-to-Chant (TTS) System for Sanskrithttps://blog.schoergendorfer.com/post/why-current-xai-is-not-enough-for-arabic-nlp-a-critical-survey-of-the-explainabiSecFeedde2026-08-28T10:18:31.429022+00:00Why Current XAI Is Not Enough for Arabic NLP: A Critical Survey of the Explainability Gaphttps://blog.schoergendorfer.com/post/reward-informed-sparse-autoencoders-and-the-solution-completeness-confoundSecFeedde2026-08-28T10:18:31.403786+00:00Reward-Informed Sparse Autoencoders and the Solution-Completeness Confoundhttps://blog.schoergendorfer.com/post/agent-seer-synthesizing-scenarios-from-specification-understandingSecFeedde2026-08-28T10:18:31.350945+00:00Agent Seer: Synthesizing Scenarios from Specification Understandinghttps://blog.schoergendorfer.com/post/evaluating-language-models-in-realistic-conversational-contextsSecFeedde2026-08-28T10:18:31.327774+00:00Evaluating Language Models in Realistic Conversational Contextshttps://blog.schoergendorfer.com/post/agents-dont-paginate-first-chunk-selection-for-llm-tool-responsesSecFeedde2026-08-28T10:18:31.299393+00:00Agents Don't Paginate: First-Chunk Selection for LLM Tool Responseshttps://blog.schoergendorfer.com/post/telecomgpt-r1-a-unified-open-source-reasoner-for-the-telecom-stackSecFeedde2026-08-28T10:18:31.271779+00:00TelecomGPT-R1: A Unified Open-Source Reasoner for the Telecom Stackhttps://blog.schoergendorfer.com/post/natural-language-policies-to-executable-decisions-an-interpretable-large-languagSecFeedde2026-08-28T10:18:31.245534+00:00Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Frameworkhttps://blog.schoergendorfer.com/post/which-india-survives-translation-narrative-homogenisation-across-indian-oral-traSecFeedde2026-08-28T10:18:31.220754+00:00Which India Survives Translation? Narrative Homogenisation Across Indian Oral Traditions in LLMshttps://blog.schoergendorfer.com/post/deflectbench-a-benchmark-for-evaluating-rhetorical-fallacy-generation-in-llmsSecFeedde2026-08-28T10:18:31.193233+00:00DeflectBench: A Benchmark for Evaluating Rhetorical Fallacy Generation in LLMshttps://blog.schoergendorfer.com/post/elementcheck-complexity-aware-long-form-text-factuality-evaluation-via-sentenceSecFeedde2026-08-28T10:18:31.161937+00:00ElementCheck: Complexity-Aware Long-Form Text Factuality Evaluation via Sentence Elementshttps://blog.schoergendorfer.com/post/treegraft-adaptive-multi-drafter-grafting-for-tree-based-speculative-decodingSecFeedde2026-08-28T10:18:31.135017+00:00TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative Decodinghttps://blog.schoergendorfer.com/post/lm-x-explainable-action-modeling-with-progress-event-and-uncertainty-prediction-2SecFeedde2026-08-28T10:18:31.109256+00:00LM-X: Explainable Action Modeling with Progress, Event, and Uncertainty Prediction for Generalist Robot Manipulationhttps://blog.schoergendorfer.com/post/keeping-the-index-open-the-recommendation-side-cost-of-shared-search-and-recommeSecFeedde2026-08-28T10:18:31.060683+00:00Keeping the Index Open: The Recommendation-Side Cost of Shared Search and Recommendationhttps://blog.schoergendorfer.com/post/vqc-zti-variational-quantum-control-for-zero-trust-protection-of-the-tactile-int-2SecFeedde2026-08-28T10:18:31.037623+00:00VQC-ZTI: Variational Quantum Control for Zero Trust Protection of the Tactile Internethttps://blog.schoergendorfer.com/post/gradient-free-learning-of-a-closed-loop-wall-controller-for-turbulent-drag-reduc-2SecFeedde2026-08-28T10:18:31.012861+00:00Gradient-free learning of a closed-loop wall controller for turbulent drag reductionhttps://blog.schoergendorfer.com/post/when-top-k-misses-the-decision-tool-call-drift-in-multi-teacher-on-policy-distil-3SecFeedde2026-08-28T10:04:59.813802+00:00When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillationhttps://blog.schoergendorfer.com/post/clinically-aligned-geometry-constraints-for-robust-ivus-vessel-boundary-segmentaSecFeedde2026-08-28T10:04:59.782908+00:00Clinically Aligned Geometry Constraints for Robust IVUS Vessel Boundary Segmentationhttps://blog.schoergendorfer.com/post/adaptive-inference-for-resource-constrained-dynamic-pricing-2SecFeedde2026-08-28T10:04:59.756784+00:00Adaptive Inference for Resource-Constrained Dynamic Pricinghttps://blog.schoergendorfer.com/post/out-of-sight-not-out-of-mind-unveiling-latent-attack-in-latent-based-multi-agentSecFeedde2026-08-28T10:04:59.730377+00:00Out of Sight, Not Out of Mind: Unveiling Latent Attack in Latent-based Multi-Agent Systemshttps://blog.schoergendorfer.com/post/bayes-with-no-shame-admissibility-geometries-of-predictive-inference-2SecFeedde2026-08-28T10:04:59.655981+00:00Bayes with No Shame: Admissibility Geometries of Predictive Inferencehttps://blog.schoergendorfer.com/post/pacifier-pacing-opinion-depolarization-via-a-unified-graph-learning-frameworkSecFeedde2026-08-28T10:04:59.626087+00:00PACIFIER: Pacing Opinion Depolarization via a Unified Graph Learning Frameworkhttps://blog.schoergendorfer.com/post/toward-all-optical-unsupervised-hebbian-learning-in-deep-photonic-neuromorphic-nSecFeedde2026-08-28T10:04:59.581460+00:00Toward all-optical unsupervised Hebbian learning in deep photonic neuromorphic networkshttps://blog.schoergendorfer.com/post/a-flexible-empirical-bayes-approach-to-generalized-linear-models-with-applicatioSecFeedde2026-08-28T10:04:59.557709+00:00A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regressionhttps://blog.schoergendorfer.com/post/quantitative-mapping-from-conventional-mri-using-self-supervised-physics-guidedSecFeedde2026-08-28T10:04:59.533744+00:00Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous datasethttps://blog.schoergendorfer.com/post/ucb-for-large-scale-pure-exploration-beyond-sub-gaussianitySecFeedde2026-08-28T10:04:59.507149+00:00UCB for Large-Scale Pure Exploration: Beyond Sub-Gaussianityhttps://blog.schoergendorfer.com/post/a-framework-for-low-effort-training-data-generation-for-urban-semantic-segmentatSecFeedde2026-08-28T10:04:59.480127+00:00A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentationhttps://blog.schoergendorfer.com/post/llm-analysis-of-150-years-of-german-parliamentary-debates-on-migration-reveals-sSecFeedde2026-08-28T10:04:59.448366+00:00LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decadehttps://blog.schoergendorfer.com/post/sequential-additivity-in-distributionally-robust-ranking-and-selectionSecFeedde2026-08-28T10:04:59.419284+00:00Sequential Additivity in Distributionally Robust Ranking and Selectionhttps://blog.schoergendorfer.com/post/stack-trace-based-crash-deduplication-with-transformer-adaptationSecFeedde2026-08-28T10:04:59.388112+00:00Stack Trace-Based Crash Deduplication with Transformer Adaptationhttps://blog.schoergendorfer.com/post/stitch-ope-trajectory-stitching-with-guided-diffusion-for-off-policy-evaluationSecFeedde2026-08-28T10:04:59.331545+00:00STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluationhttps://blog.schoergendorfer.com/post/bregman-linearized-augmented-lagrangian-method-for-nonconvex-constrained-stochasSecFeedde2026-08-28T10:04:59.301698+00:00Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimizationhttps://blog.schoergendorfer.com/post/group-shared-low-rank-approximation-for-mobile-efficient-pointwise-convolutions-2SecFeedde2026-08-28T09:50:18.510541+00:00Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNshttps://blog.schoergendorfer.com/post/a-token-level-analysis-of-sampled-token-reverse-kl-on-policy-distillation-2SecFeedde2026-08-28T09:50:18.477246+00:00A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillationhttps://blog.schoergendorfer.com/post/learning-generalizable-behaviors-for-terminal-agentsSecFeedde2026-08-28T09:50:18.442074+00:00Learning Generalizable Behaviors for Terminal Agentshttps://blog.schoergendorfer.com/post/decoupled-physical-modeling-and-execution-for-physics-reasoning-2SecFeedde2026-08-28T09:50:18.406312+00:00Decoupled Physical Modeling and Execution for Physics Reasoninghttps://blog.schoergendorfer.com/post/rethinking-expressivity-and-efficiency-in-test-time-training-2SecFeedde2026-08-28T09:50:18.377131+00:00Rethinking Expressivity and Efficiency in Test-Time Traininghttps://blog.schoergendorfer.com/post/a-real-time-tsetlin-machine-based-non-intrusive-load-monitoring-system-on-mcus-2SecFeedde2026-08-28T09:50:18.342877+00:00A 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Traceshttps://blog.schoergendorfer.com/post/tensorion-a-tensor-aware-generalization-of-the-muon-optimizerSecFeedde2026-08-28T09:50:18.163084+00:00Tensorion: A Tensor-Aware Generalization of the Muon Optimizerhttps://blog.schoergendorfer.com/post/you-dont-need-to-run-every-evalSecFeedde2026-08-28T09:50:18.135143+00:00You Don't Need to Run Every Evalhttps://blog.schoergendorfer.com/post/when-do-autoregressive-sequence-models-forecast-physical-wavefields-a-controlledSecFeedde2026-08-28T09:50:18.105827+00:00When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismogramshttps://blog.schoergendorfer.com/post/beyond-flops-benchmarking-real-inference-acceleration-of-llm-pruning-under-a-gemSecFeedde2026-08-28T09:50:18.079521+00:00Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomyhttps://blog.schoergendorfer.com/post/the-attribution-contract-for-generative-language-modelsSecFeedde2026-08-28T09:50:18.053771+00:00The Attribution Contract for Generative Language Modelshttps://blog.schoergendorfer.com/post/aitchison-embeddings-for-learning-compositional-graph-representationsSecFeedde2026-08-28T09:50:18.025853+00:00Aitchison Embeddings for Learning Compositional Graph Representationshttps://blog.schoergendorfer.com/post/the-rashomon-effect-for-visualizing-high-dimensional-dataSecFeedde2026-08-28T09:50:17.973411+00:00The Rashomon Effect for Visualizing High-Dimensional Datahttps://blog.schoergendorfer.com/post/p1-better-prompt-optimization-with-fewer-promptsSecFeedde2026-08-28T09:50:17.945825+00:00$p1$: Better Prompt Optimization with Fewer Promptshttps://blog.schoergendorfer.com/post/stable-but-wrong-when-learning-stabilizes-away-from-the-truthSecFeedde2026-08-28T09:35:47.699435+00:00Stable but Wrong: When Learning Stabilizes Away from the Truthhttps://blog.schoergendorfer.com/post/learning-to-reason-with-curriculum-i-provable-benefits-of-autocurriculumSecFeedde2026-08-28T09:35:47.673409+00:00Learning to Reason with Curriculum I: Provable Benefits of Autocurriculumhttps://blog.schoergendorfer.com/post/private-and-interpretable-clinical-prediction-with-quantum-inspired-tensor-trainSecFeedde2026-08-28T09:35:47.647852+00:00Private and interpretable clinical prediction with quantum-inspired tensor train modelshttps://blog.schoergendorfer.com/post/cofm-consistent-optimal-transport-flow-matching-via-partially-input-convex-neuraSecFeedde2026-08-28T09:35:47.624504+00:00COFM: Consistent Optimal Transport Flow Matching via Partially Input Convex Neural Networkshttps://blog.schoergendorfer.com/post/absolute-indices-for-determining-compactness-separability-and-number-of-clustersSecFeedde2026-08-28T09:35:47.599162+00:00Absolute indices for determining compactness, separability and number of clustershttps://blog.schoergendorfer.com/post/a-survey-of-llm-prompt-datasets-taxonomy-linguistic-patterns-and-practical-usesSecFeedde2026-08-28T09:35:47.574213+00:00A Survey of LLM Prompt Datasets: Taxonomy, Linguistic Patterns, and Practical Useshttps://blog.schoergendorfer.com/post/leakage-free-evaluation-and-distribution-robust-spatio-temporal-graph-learning-fSecFeedde2026-08-28T09:35:47.547268+00:00Leakage-Free Evaluation and Distribution-Robust Spatio-Temporal Graph Learning for Inductive Kriginghttps://blog.schoergendorfer.com/post/relate-accelerating-tensor-decomposition-via-safe-and-efficient-learning-of-sparSecFeedde2026-08-28T09:35:47.516044+00:00ReLATE: Accelerating Tensor Decomposition via Safe and Efficient Learning of Sparse Encodingshttps://blog.schoergendorfer.com/post/provable-one-poison-backdoor-attacks-on-linear-models-and-relu-neural-networksSecFeedde2026-08-28T09:35:47.491194+00:00Provable one-poison backdoor attacks on linear models and ReLU neural networkshttps://blog.schoergendorfer.com/post/plain-transformers-can-be-powerful-graph-learnersSecFeedde2026-08-28T09:35:47.469874+00:00Plain Transformers Can be Powerful Graph Learnershttps://blog.schoergendorfer.com/post/modis-multi-omics-data-integration-for-small-and-unpaired-datasetsSecFeedde2026-08-28T09:35:47.448154+00:00MODIS: Multi-Omics Data Integration for Small and unpaired datasetshttps://blog.schoergendorfer.com/post/federated-adversarial-training-with-transformersSecFeedde2026-08-28T09:35:47.404995+00:00Federated Adversarial Training with Transformershttps://blog.schoergendorfer.com/post/scaling-graph-neural-networks-for-friend-recommendation-multi-hash-user-embeddinSecFeedde2026-08-28T09:35:47.380882+00:00Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Samplinghttps://blog.schoergendorfer.com/post/puro-2b-poor-labs-qwen2-15b-trained-on-rtx-5090-within-5090SecFeedde2026-08-28T09:35:47.312550+00:00Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within $5090https://blog.schoergendorfer.com/post/recovering-expert-critic-sourced-network-adjacency-between-musical-artists-fromSecFeedde2026-08-28T09:35:47.287710+00:00Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approachhttps://blog.schoergendorfer.com/post/enforcing-dirichlet-boundary-conditions-in-operator-learningSecFeedde2026-08-28T09:19:11.583129+00:00Enforcing Dirichlet Boundary Conditions in Operator Learninghttps://blog.schoergendorfer.com/post/a-point-of-prescription-safety-check-system-for-adverse-drug-reactions-in-ruralSecFeedde2026-08-28T09:19:11.552037+00:00A Point-of-Prescription Safety-Check System for Adverse Drug Reactions in Rural Bangladeshi Hospitals: A Feasibility Studyhttps://blog.schoergendorfer.com/post/data-efficient-crack-quantification-in-lithium-ion-cathodes-using-foundation-modSecFeedde2026-08-28T09:19:11.525914+00:00Data-efficient crack quantification in lithium-ion cathodes using foundation model transferhttps://blog.schoergendorfer.com/post/securedrive-fl-joint-differential-privacy-and-gradient-aware-selective-homomorphSecFeedde2026-08-28T09:19:11.436614+00:00SecureDrive-FL: Joint Differential Privacy and Gradient-Aware Selective Homomorphic Encryption for Federated Driver Monitoringhttps://blog.schoergendorfer.com/post/foldpipe-bounded-remote-streaming-of-native-molecular-shards-with-asynchronous-pSecFeedde2026-08-28T09:19:11.409508+00:00FoldPipe: Bounded Remote Streaming of Native Molecular Shards with Asynchronous Prefetchhttps://blog.schoergendorfer.com/post/representation-measurements-under-function-preserving-reparameterizationsSecFeedde2026-08-28T09:19:11.379447+00:00Representation Measurements Under Function-Preserving Reparameterizationshttps://blog.schoergendorfer.com/post/why-not-to-use-the-gaussian-kernelSecFeedde2026-08-28T09:19:11.341656+00:00Why not to use the Gaussian kernelhttps://blog.schoergendorfer.com/post/squeezing-more-from-limited-data-with-recursive-transformersSecFeedde2026-08-28T09:19:11.309943+00:00Squeezing More from Limited Data with Recursive Transformershttps://blog.schoergendorfer.com/post/data-driven-koopman-mode-approximation-a-neural-power-iteration-algorithmSecFeedde2026-08-28T09:19:11.277401+00:00Data-driven Koopman mode approximation: A neural power iteration algorithmhttps://blog.schoergendorfer.com/post/bridging-short-and-medium-range-weather-forecasting-with-machine-learningSecFeedde2026-08-28T09:19:11.231836+00:00Bridging short- and medium-range weather forecasting with machine learninghttps://blog.schoergendorfer.com/post/incremental-recommendation-via-causal-modelsSecFeedde2026-08-28T09:19:11.206097+00:00Incremental Recommendation via Causal Modelshttps://blog.schoergendorfer.com/post/hyperspectral-diffusion-equivariant-imaging-hydiff-ei-a-self-supervised-frameworSecFeedde2026-08-28T09:19:11.178416+00:00Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image 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Detectionhttps://blog.schoergendorfer.com/post/dynamical-phase-selection-controls-compute-scaling-in-looped-transformersSecFeedde2026-08-28T09:03:14.081343+00:00Dynamical phase selection controls compute scaling in looped transformershttps://blog.schoergendorfer.com/post/hadamard-flattening-and-gaussian-pooling-sketch-for-least-squares-with-coordinatSecFeedde2026-08-28T09:03:14.050519+00:00Hadamard Flattening and Gaussian Pooling Sketch for Least Squares with Coordinate-wise Guaranteehttps://blog.schoergendorfer.com/post/sharp-minimax-regret-for-infinite-memory-logistic-predictionSecFeedde2026-08-28T09:03:14.023809+00:00Sharp Minimax Regret for Infinite-Memory Logistic Predictionhttps://blog.schoergendorfer.com/post/vowel-signs-are-not-letters-a-pre-tokenization-ceiling-on-multilingual-tokenizerSecFeedde2026-08-28T09:03:13.999403+00:00Vowel Signs Are Not Letters: A Pre-tokenization Ceiling on Multilingual Tokenizer Fertilityhttps://blog.schoergendorfer.com/post/systematic-literature-review-of-machine-learning-models-and-applications-for-texSecFeedde2026-08-28T09:03:13.974605+00:00Systematic Literature Review of Machine Learning Models and Applications for Text Recognitionhttps://blog.schoergendorfer.com/post/interpreting-latent-protein-language-model-features-with-geometric-annotationsSecFeedde2026-08-28T09:03:13.947783+00:00Interpreting Latent Protein Language Model Features with Geometric Annotationshttps://blog.schoergendorfer.com/post/towards-a-universal-meta-optics-solver-via-large-language-modelsSecFeedde2026-08-28T09:03:13.922351+00:00Towards a universal meta-optics solver via large language modelshttps://blog.schoergendorfer.com/post/lowrankarena-a-standardized-evaluation-platform-for-svd-based-llm-compressionSecFeedde2026-08-28T09:03:13.897928+00:00LowRankArena: A Standardized Evaluation Platform for SVD-Based LLM Compressionhttps://blog.schoergendorfer.com/post/cross-simulator-transfer-with-foundation-model-summaries-towards-robust-ska-eraSecFeedde2026-08-28T09:03:13.869408+00:00Cross-simulator transfer with foundation model summaries: Towards robust SKA-era reionization inferencehttps://blog.schoergendorfer.com/post/finding-the-right-evidence-factor-guided-coarse-to-fine-reasoning-for-long-videoSecFeedde2026-08-28T09:03:13.841917+00:00Finding the Right Evidence: Factor-Guided Coarse-to-Fine Reasoning for Long Videoshttps://blog.schoergendorfer.com/post/when-is-noise-response-universal-tokenization-as-the-hidden-variable-in-languageSecFeedde2026-08-28T09:03:13.808470+00:00When Is Noise Response Universal? Tokenization as the Hidden Variable in Language Modelshttps://blog.schoergendorfer.com/post/district-level-food-environment-indicators-and-social-vulnerability-in-sao-pauloSecFeedde2026-08-28T09:03:13.776240+00:00District-Level Food Environment Indicators and Social Vulnerability in S\~ao Paulohttps://blog.schoergendorfer.com/post/multi-dataset-inverse-problem-solving-with-distributed-generative-aiSecFeedde2026-08-28T09:03:13.743525+00:00Multi-Dataset Inverse Problem Solving with Distributed Generative AIhttps://blog.schoergendorfer.com/post/constraint-aware-physics-informed-neural-networks-for-static-shape-estimation-ofSecFeedde2026-08-28T09:03:13.714410+00:00Constraint-Aware Physics-Informed Neural Networks for Static Shape Estimation of Co-Manipulative Continuum Robotshttps://blog.schoergendorfer.com/post/a-causal-graph-informed-temporal-convolution-architecture-for-interpretable-retaSecFeedde2026-08-28T09:03:13.690677+00:00A causal graph-informed temporal convolution architecture for interpretable retail electricity price forecastinghttps://blog.schoergendorfer.com/post/classical-and-hybrid-quantum-machine-learning-for-trigger-like-event-selection-oSecFeedde2026-08-28T09:03:13.663504+00:00Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmarkhttps://blog.schoergendorfer.com/post/trace-retrospective-streaming-generation-of-physical-fields-under-sparse-structuSecFeedde2026-08-28T09:03:13.637598+00:00TRACE: Retrospective Streaming Generation of Physical Fields under Sparse Structured Sensinghttps://blog.schoergendorfer.com/post/real-time-virtual-circuits-for-plasma-shape-control-via-neural-network-emulatorsSecFeedde2026-08-28T08:47:54.556185+00:00Real-time virtual circuits for plasma shape control via neural network emulators: integration and testing in the MAST-U PCShttps://blog.schoergendorfer.com/post/adathinking-e-one-token-entropy-regulation-for-adaptive-thinkingSecFeedde2026-08-28T08:47:54.528943+00:00AdaThinking-E: One-Token Entropy Regulation for Adaptive Thinkinghttps://blog.schoergendorfer.com/post/affix-cache-for-diffusion-large-language-modelsSecFeedde2026-08-28T08:47:54.502512+00:00Affix Cache for Diffusion Large Language Modelshttps://blog.schoergendorfer.com/post/cross-platform-generalisation-failure-in-mental-health-natural-language-processiSecFeedde2026-08-28T08:47:54.478018+00:00Cross-Platform Generalisation Failure in Mental Health Natural Language Processing: A Five-Axis Fairness Audit of Transformer Models on Social Mediahttps://blog.schoergendorfer.com/post/interpretable-fairly-evaluated-automated-l2-speaking-assessment-that-beats-the-sSecFeedde2026-08-28T08:47:54.448949+00:00Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scoreshttps://blog.schoergendorfer.com/post/graph-based-modeling-of-financial-volatility-dynamicsSecFeedde2026-08-28T08:47:54.417593+00:00Graph-Based Modeling of Financial Volatility Dynamicshttps://blog.schoergendorfer.com/post/can-a-model-catch-its-own-hallucinations-for-free-label-free-doubt-signals-holdSecFeedde2026-08-28T08:47:54.389085+00:00Can a Model Catch Its Own Hallucinations for Free?: Label-Free Doubt Signals Hold Their Own Against a Labelled Dataset for Abstentionhttps://blog.schoergendorfer.com/post/generative-monte-carlo-sampling-for-constant-cost-particle-transportSecFeedde2026-08-28T08:47:54.329694+00:00Generative Monte Carlo Sampling for Constant-Cost Particle Transporthttps://blog.schoergendorfer.com/post/a-dynamic-likelihood-approach-to-filtering-for-advection-diffusion-dynamicsSecFeedde2026-08-28T08:47:54.299442+00:00A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamicshttps://blog.schoergendorfer.com/post/understanding-evolution-strategies-for-llm-reasoning-broader-reasoning-coverageSecFeedde2026-08-28T08:47:54.271339+00:00Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPOhttps://blog.schoergendorfer.com/post/beyond-parallel-blindness-information-floors-and-model-gaps-in-block-draftingSecFeedde2026-08-28T08:47:54.236334+00:00Beyond Parallel Blindness: Information Floors and Model Gaps in Block Draftinghttps://blog.schoergendorfer.com/post/quantumboostnet-a-hybrid-classical-quantum-architecture-for-enhanced-accuracy-inSecFeedde2026-08-28T08:47:54.205282+00:00QuantumBoostNet: A Hybrid Classical-Quantum Architecture for Enhanced Accuracy in Cardiac Ultrasound View Identificationhttps://blog.schoergendorfer.com/post/making-latent-evolution-explicit-operator-structured-transitions-for-world-actioSecFeedde2026-08-28T08:47:54.161385+00:00Making Latent Evolution Explicit: Operator-Structured Transitions for 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wheathttps://blog.schoergendorfer.com/post/common-geodesics-do-not-guarantee-fisher-consistency-of-the-structured-svm-minimSecFeedde2026-08-28T08:47:54.000852+00:00Common Geodesics Do Not Guarantee Fisher Consistency of the Structured SVM: Minimal Counterexamples and a Tree-Metric Classificationhttps://blog.schoergendorfer.com/post/when-interference-graphs-evolve-doubly-robust-estimation-of-dynamic-peer-effectsSecFeedde2026-08-28T08:32:50.699855+00:00When Interference Graphs Evolve: Doubly Robust Estimation of Dynamic Peer Effectshttps://blog.schoergendorfer.com/post/tracebench-controlled-evaluation-of-llm-agents-for-time-series-root-cause-attribSecFeedde2026-08-28T08:32:50.674749+00:00TraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause Attributionhttps://blog.schoergendorfer.com/post/diffusion-policies-for-short-horizon-planning-in-robot-crowd-navigationSecFeedde2026-08-28T08:32:50.650832+00:00Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigationhttps://blog.schoergendorfer.com/post/inductive-correlation-clustering-with-graph-neural-networksSecFeedde2026-08-28T08:32:50.623213+00:00Inductive Correlation Clustering with Graph Neural Networkshttps://blog.schoergendorfer.com/post/ultra-low-power-lightweight-probabilistic-rss-based-path-reconstruction-a-systemSecFeedde2026-08-28T08:32:50.598432+00:00Ultra Low-Power, Lightweight, Probabilistic RSS-Based Path Reconstruction: A System for Landscape-Scale Bee Trackinghttps://blog.schoergendorfer.com/post/cone-extended-rayleigh-quotients-for-directed-graph-learning-minimax-spectral-ceSecFeedde2026-08-28T08:32:50.570500+00:00Cone Extended Rayleigh Quotients for Directed Graph Learning: Minimax Spectral Certificates, Sensitivity, and Adaptive Controlhttps://blog.schoergendorfer.com/post/trace-crc-trajectory-adaptive-conformal-risk-control-for-multi-step-channel-statSecFeedde2026-08-28T08:32:50.544421+00:00TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step Channel State Information Predictionhttps://blog.schoergendorfer.com/post/tabular-deep-learning-for-algorithmic-trading-cross-regime-bayesian-optimisationSecFeedde2026-08-28T08:32:50.513317+00:00Tabular Deep Learning for Algorithmic Trading: Cross-Regime Bayesian Optimisation for Equity Signal Generationhttps://blog.schoergendorfer.com/post/unifying-detection-and-adaptation-in-task-free-continual-learningSecFeedde2026-08-28T08:32:50.488203+00:00Unifying Detection and Adaptation in Task-Free Continual Learninghttps://blog.schoergendorfer.com/post/soft-active-electromyography-interface-for-machine-learning-enabled-silent-speecSecFeedde2026-08-28T08:32:50.462190+00:00Soft Active Electromyography Interface for Machine Learning-Enabled Silent Speech Recognitionhttps://blog.schoergendorfer.com/post/benchmarking_fast_domain_adaptation_for_unsupervised_speech_unitsSecFeedde2026-08-28T08:32:50.435952+00:00Benchmarking_Fast_Domain_Adaptation_for_Unsupervised_Speech_Unitshttps://blog.schoergendorfer.com/post/disentangling-optimization-scale-from-preference-scale-in-dpoSecFeedde2026-08-28T08:32:50.411195+00:00Disentangling Optimization Scale from Preference Scale in DPOhttps://blog.schoergendorfer.com/post/decentralized-multitask-learning-over-learned-task-graphsSecFeedde2026-08-28T08:32:50.386205+00:00Decentralized Multitask Learning over Learned Task Graphshttps://blog.schoergendorfer.com/post/terrain-signatures-in-welsh-settlement-namesSecFeedde2026-08-28T08:32:50.358577+00:00Terrain signatures in Welsh settlement nameshttps://blog.schoergendorfer.com/post/templar-wales-a-georeferenced-environmental-and-toponymic-dataset-of-welsh-settlSecFeedde2026-08-28T08:32:50.329261+00:00TEMPLAR Wales: A georeferenced environmental and toponymic dataset of Welsh settlementshttps://blog.schoergendorfer.com/post/graph-based-pseudo-multimodal-contrastive-learning-for-12-lead-ecg-representatioSecFeedde2026-08-28T08:32:50.300593+00:00Graph-Based Pseudo-multimodal Contrastive Learning for 12-Lead ECG Representationshttps://blog.schoergendorfer.com/post/clusterattention-a-training-free-speedup-of-bidirectional-attentionSecFeedde2026-08-28T08:32:50.270946+00:00ClusterAttention: A training-free speedup of bidirectional attentionhttps://blog.schoergendorfer.com/post/adversarial-training-without-input-gradients-via-low-rank-householder-expansionsSecFeedde2026-08-28T08:32:50.242494+00:00Adversarial Training Without Input Gradients via Low-Rank Householder Expansionshttps://blog.schoergendorfer.com/post/packora-systematic-design-for-generative-molecular-crystal-structure-predictionSecFeedde2026-08-28T08:32:50.214516+00:00Packora: Systematic Design for Generative Molecular Crystal Structure Predictionhttps://blog.schoergendorfer.com/post/gromov-monge-flow-matching-for-equivariant-graph-generationSecFeedde2026-08-28T08:32:50.189807+00:00Gromov-Monge Flow Matching for Equivariant Graph Generationhttps://blog.schoergendorfer.com/post/scaling-model-generated-distillation-data-can-make-latent-teacher-traits-more-reSecFeedde2026-08-28T08:17:56.367927+00:00Scaling Model-Generated Distillation Data Can Make Latent Teacher Traits More Recoverablehttps://blog.schoergendorfer.com/post/a-layer-importance-metric-for-quantization-accounting-for-the-speed-quality-tradSecFeedde2026-08-28T08:17:56.339826+00:00A Layer Importance Metric for Quantization Accounting for the Speed-Quality Trade-off in Autoregressive Modelshttps://blog.schoergendorfer.com/post/mitigating-strong-modality-collapse-in-multimodal-learning-via-inverted-asymmetrSecFeedde2026-08-28T08:17:56.309781+00:00Mitigating Strong-Modality Collapse in Multimodal Learning via Inverted Asymmetric Fusionhttps://blog.schoergendorfer.com/post/when-is-the-sharp-covariance-envelope-tight-feature-only-geometry-for-volume-samSecFeedde2026-08-28T08:17:56.281552+00:00When Is the Sharp Covariance Envelope Tight? Feature-Only Geometry for Volume-Sampled Least Squareshttps://blog.schoergendorfer.com/post/sage-variate-wise-semantic-augmentation-for-vision-language-time-series-forecastSecFeedde2026-08-28T08:17:56.257353+00:00SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecastinghttps://blog.schoergendorfer.com/post/beyond-client-averaging-a-client-independent-second-order-stationary-bias-componSecFeedde2026-08-28T08:17:56.204181+00:00Beyond Client Averaging: A Client-Independent Second-Order Stationary-Bias Component in Stochastic SCAFFOLDhttps://blog.schoergendorfer.com/post/safety-by-design-realized-cost-constraints-for-contextual-bandits-with-continuouSecFeedde2026-08-28T08:17:56.174775+00:00Safety by Design: Realized-Cost Constraints for Contextual Bandits with Continuous Actionshttps://blog.schoergendorfer.com/post/neural-regression-with-embeddings-for-numerical-attribute-prediction-in-knowledgSecFeedde2026-08-28T08:17:56.144835+00:00Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphshttps://blog.schoergendorfer.com/post/self-augmented-diffusion-guidance-for-physics-informed-generationSecFeedde2026-08-28T08:17:56.117748+00:00Self-Augmented Diffusion Guidance for Physics-Informed Generationhttps://blog.schoergendorfer.com/post/simple-actors-and-deep-critics-for-scalable-reinforcement-learningSecFeedde2026-08-28T08:17:56.092262+00:00Simple Actors and Deep Critics for Scalable Reinforcement Learninghttps://blog.schoergendorfer.com/post/when-privacy-hurts-mergeability-geometry-aware-model-merging-under-differentialSecFeedde2026-08-28T08:17:56.067401+00:00When Privacy Hurts Mergeability: Geometry-Aware Model Merging under Differential Privacyhttps://blog.schoergendorfer.com/post/robust-neural-stimulation-response-modeling-through-meta-learning-and-pretraininSecFeedde2026-08-28T08:17:56.042351+00:00Robust Neural Stimulation Response Modeling Through Meta-Learning and Pretraininghttps://blog.schoergendorfer.com/post/simcast-s2s-an-efficient-generative-model-for-subseasonal-precipitation-forecastSecFeedde2026-08-28T08:17:56.018224+00:00SimCast-S2S: An Efficient Generative Model for Subseasonal Precipitation Forecasting via Transfer Learning from Climate Simulationshttps://blog.schoergendorfer.com/post/technical-comparative-benchmarking-study-advanced-ai-hybrid-methods-for-renewablSecFeedde2026-08-28T08:17:55.987342+00:00Technical Comparative Benchmarking Study: Advanced AI Hybrid Methods for Renewable Energy Farm Optimization and Forecastinghttps://blog.schoergendorfer.com/post/gras-guided-reduced-variance-proposals-and-adaptive-selection-for-training-freeSecFeedde2026-08-28T08:17:55.961871+00:00GRAS: Guided Reduced-Variance Proposals and Adaptive Selection for Training-Free Reward Alignment in Discrete Diffusionhttps://blog.schoergendorfer.com/post/activation-outliers-matter-robust-recovery-for-quantized-multimodal-llmsSecFeedde2026-08-28T08:17:55.937161+00:00Activation Outliers Matter: Robust Recovery for Quantized Multimodal LLMshttps://blog.schoergendorfer.com/post/arrive-and-survive-scaling-safe-goal-conditioned-policy-learning-from-one-bit-faSecFeedde2026-08-28T08:17:55.912577+00:00Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure Signalshttps://blog.schoergendorfer.com/post/predicting-quantifiability-from-primary-screens-to-prioritize-dose-response-profSecFeedde2026-08-28T08:17:55.853118+00:00Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profilinghttps://blog.schoergendorfer.com/post/high-probability-derivative-bounds-for-random-tanh-neural-networks-on-a-hypercubSecFeedde2026-08-28T08:02:38.853073+00:00High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercubehttps://blog.schoergendorfer.com/post/algorithmic-principles-for-multiclass-learning-are-hard-to-come-by-limits-of-regSecFeedde2026-08-28T08:02:38.823837+00:00Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learninghttps://blog.schoergendorfer.com/post/a-single-suffix-to-break-them-all-basin-aware-jailbreaks-for-merged-model-familiSecFeedde2026-08-28T08:02:38.797660+00:00A Single Suffix to Break Them All: Basin-Aware Jailbreaks for Merged Model Familieshttps://blog.schoergendorfer.com/post/a-unified-framework-for-fair-and-personalized-decentralized-learning-under-commuSecFeedde2026-08-28T08:02:38.773012+00:00A Unified Framework for Fair and Personalized Decentralized Learning under Communication Constraintshttps://blog.schoergendorfer.com/post/shared-actors-need-not-share-critics-effects-of-value-mismatch-in-parallel-reinfSecFeedde2026-08-28T08:02:38.716488+00:00Shared Actors Need Not Share Critics: Effects of Value 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Optimizationhttps://blog.schoergendorfer.com/post/pruning-binarized-neural-networks-a-dedicated-framework-and-globally-weighted-alSecFeedde2026-08-28T08:02:38.395500+00:00Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithmshttps://blog.schoergendorfer.com/post/slm-conditioned-hierarchical-relation-routing-for-labeled-property-graph-learninSecFeedde2026-08-28T08:02:38.364365+00:00SLM-Conditioned Hierarchical Relation Routing for Labeled Property Graph Learninghttps://blog.schoergendorfer.com/post/learning-new-facts-with-qlora-an-acquisition-retention-frontier-2SecFeedde2026-08-28T08:02:38.335788+00:00Learning New Facts with QLoRA: An Acquisition-Retention Frontierhttps://blog.schoergendorfer.com/post/when-stale-constraints-go-unchecked-budgeted-verification-failures-in-inherited-2SecFeedde2026-08-28T08:02:38.309004+00:00When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memoryhttps://blog.schoergendorfer.com/post/4dstreamctrl-interactive-video-generation-with-online-4d-controlSecFeedde2026-08-28T07:47:45.418200+00:004DStreamCtrl: Interactive Video Generation with Online 4D Controlhttps://blog.schoergendorfer.com/post/macgen-toward-functionally-correct-and-secure-code-generation-via-multi-agent-coSecFeedde2026-08-28T07:47:45.343607+00:00MACGen: Toward Functionally Correct and Secure Code Generation via Multi-Agent Collaborationhttps://blog.schoergendorfer.com/post/datakernelbench-can-llms-optimize-database-queries-on-gpus-2SecFeedde2026-08-28T07:47:45.313948+00:00DataKernelBench: Can LLMs Optimize Database Queries on GPUs?https://blog.schoergendorfer.com/post/cat-gs-balanced-multimodal-learning-via-calibrated-gating-and-fusion-surgery-2SecFeedde2026-08-28T07:47:45.259736+00:00CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgeryhttps://blog.schoergendorfer.com/post/when-youth-enter-the-chat-an-epistemic-shift-in-the-validation-of-llm-based-meas-2SecFeedde2026-08-28T07:47:45.226819+00:00When Youth Enter The Chat: An Epistemic Shift in the Validation of LLM-Based Measures of Student Talkhttps://blog.schoergendorfer.com/post/exam2-underlineextending-underlineaudio-understanding-in-underlinemultilingual-a-2SecFeedde2026-08-28T07:47:45.195850+00:00EXAM$^2$: $\underline{Ex}tending$ $\underline{A}udio$ $Understanding$ $in$ $\underline{M}ultilingual$ $and$ $\underline{M}ultimodal$ $Analysis$https://blog.schoergendorfer.com/post/the-limits-of-automatic-evaluation-of-creativity-in-large-language-models-2SecFeedde2026-08-28T07:47:45.167288+00:00The Limits of Automatic Evaluation of Creativity in Large Language Modelshttps://blog.schoergendorfer.com/post/language-chain-in-alignment-cross-lingual-ranking-preference-optimization-2SecFeedde2026-08-28T07:47:45.138504+00:00Language Chain in Alignment: Cross-lingual 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Classificationhttps://blog.schoergendorfer.com/post/m-net-integrating-spectral-features-and-physical-field-operators-into-deep-learn-2SecFeedde2026-08-28T07:47:44.958735+00:00M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for Medical Image Segmentationhttps://blog.schoergendorfer.com/post/a-12-cnot-double-qubit-excitation-gateSecFeedde2026-08-28T07:47:44.928588+00:00A 12-CNOT Double Qubit Excitation Gatehttps://blog.schoergendorfer.com/post/reopd-reliability-adaptive-reward-extrapolation-for-on-policy-distillation-3SecFeedde2026-08-28T07:47:44.898883+00:00REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillationhttps://blog.schoergendorfer.com/post/evidence-grounded-trustworthy-multimodal-reasoning-and-evaluation-benchmark-in-c-2SecFeedde2026-08-28T07:47:44.871420+00:00Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban 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Modelshttps://blog.schoergendorfer.com/post/diagnosing-conformal-prediction-failures-under-distribution-shift-a-covid-19-casSecFeedde2026-08-28T07:17:51.421182+00:00Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Studyhttps://blog.schoergendorfer.com/post/multivariate-diffusion-transformer-with-decoupled-attention-for-high-fidelity-maSecFeedde2026-08-28T07:17:51.388691+00:00Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generationhttps://blog.schoergendorfer.com/post/what-the-spotless-mind-remembers-how-knowledge-entanglement-shapes-what-leaks-afSecFeedde2026-08-28T07:02:41.277549+00:00What the "Spotless" Mind Remembers: How Knowledge Entanglement Shapes What Leaks After Unlearning in LLMshttps://blog.schoergendorfer.com/post/the-principles-of-diffusion-modelsSecFeedde2026-08-28T07:02:41.250339+00:00The Principles of Diffusion 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camerashttps://blog.schoergendorfer.com/post/gsm8k-v-can-vision-language-models-solve-grade-school-math-word-problems-in-visuSecFeedde2026-08-28T07:02:41.108152+00:00GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contextshttps://blog.schoergendorfer.com/post/recurrence-meets-transformers-for-universal-multimodal-retrieval-2SecFeedde2026-08-28T07:02:41.080634+00:00Recurrence Meets Transformers for Universal Multimodal Retrievalhttps://blog.schoergendorfer.com/post/beyond-the-rosetta-stone-unification-forces-in-generalization-dynamicsSecFeedde2026-08-28T07:02:41.050628+00:00Beyond the Rosetta Stone: Unification Forces in Generalization Dynamicshttps://blog.schoergendorfer.com/post/toward-a-new-science-of-ai-as-cognitive-infrastructureSecFeedde2026-08-28T07:02:41.022725+00:00Toward a New Science of AI as Cognitive Infrastructurehttps://blog.schoergendorfer.com/post/airllm-diffusion-policy-based-adaptive-lora-for-remote-fine-tuning-of-llm-over-tSecFeedde2026-08-28T07:02:40.990097+00:00AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Airhttps://blog.schoergendorfer.com/post/distinct-profiles-of-run-to-run-score-reliability-and-expert-panel-alignment-acrSecFeedde2026-08-28T07:02:40.956558+00:00Distinct Profiles of Run-to-Run Score Reliability and Expert-Panel Alignment Across Four LLM Evaluators of Simulated Japanese-Language AI-to-AI Counselinghttps://blog.schoergendorfer.com/post/residual-reward-models-leveraging-prior-knowledge-for-efficient-preference-basedSecFeedde2026-08-28T07:02:40.925597+00:00Residual Reward Models: Leveraging Prior Knowledge for Efficient Preference-based Reinforcement Learning in Roboticshttps://blog.schoergendorfer.com/post/refine-poi-reinforcement-fine-tuned-large-language-models-for-next-point-of-inteSecFeedde2026-08-28T07:02:40.894622+00:00Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendationhttps://blog.schoergendorfer.com/post/from-accuracy-to-robustness-a-study-of-rule-and-model-based-verifiers-in-mathemaSecFeedde2026-08-28T07:02:40.859160+00:00From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoninghttps://blog.schoergendorfer.com/post/hybridprover-augmenting-theorem-proving-with-llm-driven-proof-synthesis-and-refiSecFeedde2026-08-28T07:02:40.822996+00:00HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinementhttps://blog.schoergendorfer.com/post/temporally-grounded-language-generation-towards-real-time-vision-language-modelsSecFeedde2026-08-28T07:02:40.790855+00:00Temporally-Grounded Language Generation: Towards Real-Time Vision-Language Modelshttps://blog.schoergendorfer.com/post/communication-styles-and-reader-preferences-of-llm-and-human-authored-covid-19-iSecFeedde2026-08-28T07:02:40.760275+00:00Communication styles and reader preferences of LLM- and human-authored COVID-19 information explanations: a case studyhttps://blog.schoergendorfer.com/post/unleashing-the-power-of-llms-in-dense-retrieval-with-query-likelihood-modeling-2SecFeedde2026-08-28T07:02:40.731553+00:00Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modelinghttps://blog.schoergendorfer.com/post/the-bs-meter-detecting-politics-and-labour-through-chatgpts-languageSecFeedde2026-08-28T07:02:40.699146+00:00The BS-meter: Detecting Politics and Labour through ChatGPT's Languagehttps://blog.schoergendorfer.com/post/collafuse-collaborative-diffusion-models-2SecFeedde2026-08-28T06:47:32.363682+00:00CollaFuse: Collaborative Diffusion 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Representationhttps://blog.schoergendorfer.com/post/from-accuracy-to-auditability-a-survey-of-determinism-in-financial-ai-systems-2SecFeedde2026-08-28T06:32:51.198874+00:00From Accuracy to Auditability: A Survey of Determinism in Financial AI Systemshttps://blog.schoergendorfer.com/post/nomad-autonomous-exploration-and-discoverySecFeedde2026-08-28T06:32:51.167470+00:00Nomad: Autonomous Exploration and Discoveryhttps://blog.schoergendorfer.com/post/learning-to-predict-discover-and-reason-in-high-dimensional-event-sequencesSecFeedde2026-08-28T06:32:51.136112+00:00Learning to Predict, Discover, and Reason in High-Dimensional Event Sequenceshttps://blog.schoergendorfer.com/post/dianoia-diagnostic-decomposition-and-joint-optimization-for-multi-agent-reasoninSecFeedde2026-08-28T06:32:51.106498+00:00DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoninghttps://blog.schoergendorfer.com/post/beyond-linearization-attributed-table-graphs-for-table-reasoningSecFeedde2026-08-28T06:32:51.039603+00:00Beyond Linearization: Attributed Table Graphs for Table Reasoninghttps://blog.schoergendorfer.com/post/deepplanner-scaling-planning-capability-for-deep-research-agents-via-advantage-sSecFeedde2026-08-28T06:32:51.016687+00:00DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shapinghttps://blog.schoergendorfer.com/post/interaction-protocol-shapes-moral-judgment-in-multi-agent-debate-2SecFeedde2026-08-28T06:32:50.993252+00:00Interaction Protocol Shapes Moral Judgment in Multi-Agent Debatehttps://blog.schoergendorfer.com/post/do-language-models-follow-occams-razor-an-evaluation-of-parsimony-in-inductive-aSecFeedde2026-08-28T06:32:50.970595+00:00Do Language Models Follow Occam's Razor? 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MCR-Benchhttps://blog.schoergendorfer.com/post/redevoagent-automatic-red-teaming-agent-with-experience-driven-skill-evolutionSecFeedde2026-08-28T06:32:50.816893+00:00RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolutionhttps://blog.schoergendorfer.com/post/beyond-f1-evaluating-coverage-and-failure-recovery-in-ai-model-security-scannersSecFeedde2026-08-28T06:32:50.791782+00:00Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scannershttps://blog.schoergendorfer.com/post/persona-execution-separation-an-architecture-pattern-for-evolving-llm-agents-undSecFeedde2026-08-28T06:32:50.764688+00:00Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audithttps://blog.schoergendorfer.com/post/clap-cross-embodiment-video-world-models-are-zero-shot-physical-simulatorsSecFeedde2026-08-28T06:32:50.740138+00:00CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulatorshttps://blog.schoergendorfer.com/post/how-language-models-organize-and-structure-moral-knowledgeSecFeedde2026-08-28T06:17:41.535112+00:00How Language Models Organize and Structure Moral Knowledgehttps://blog.schoergendorfer.com/post/levjepa-efficient-scalable-video-pretraining-without-the-heuristicsSecFeedde2026-08-28T06:17:41.487378+00:00LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristicshttps://blog.schoergendorfer.com/post/property-specific-recoverability-from-contact-ppg-to-camera-rppg-under-heterogenSecFeedde2026-08-28T06:17:41.462338+00:00Property-Specific Recoverability from Contact PPG to Camera rPPG under Heterogeneous Observation Conditionshttps://blog.schoergendorfer.com/post/successive-capacity-growth-task-complexity-driven-width-and-depth-expansion-forSecFeedde2026-08-28T06:17:41.437006+00:00Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Modelshttps://blog.schoergendorfer.com/post/knockgsinteraction-grounded-calibrationof-physical-gaussian-representationsSecFeedde2026-08-28T06:17:41.412233+00:00KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representationshttps://blog.schoergendorfer.com/post/rcmn-understanding-misleadingness-in-influential-public-discourseSecFeedde2026-08-28T06:17:41.365051+00:00RCMN: Understanding Misleadingness in Influential Public Discoursehttps://blog.schoergendorfer.com/post/pawbench-how-far-are-we-from-probabilistically-aligned-world-modelingSecFeedde2026-08-28T06:17:41.340788+00:00PAWBench: How Far Are We from Probabilistically Aligned World Modeling?https://blog.schoergendorfer.com/post/difference-in-differences-on-a-censored-rating-scale-can-manufacture-an-effect-eSecFeedde2026-08-28T06:17:41.313049+00:00Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audithttps://blog.schoergendorfer.com/post/tadp-task-aware-deformable-prediction-for-single-stage-3d-object-detectionSecFeedde2026-08-28T06:17:41.283355+00:00TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detectionhttps://blog.schoergendorfer.com/post/compositional-online-learning-for-semantic-data-processing-systemsSecFeedde2026-08-28T06:17:41.258589+00:00Compositional Online Learning for Semantic Data Processing Systemshttps://blog.schoergendorfer.com/post/step-state-aware-task-estimation-and-planning-with-multi-modal-llms-for-human-roSecFeedde2026-08-28T06:17:41.235273+00:00STEP: State-Aware Task Estimation and Planning with Multi-Modal LLMs for Human-Robot Collaborationhttps://blog.schoergendorfer.com/post/pace-a-unified-condense-and-extract-paradigm-for-fast-vlm-inferenceSecFeedde2026-08-28T06:17:41.210894+00:00PACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inferencehttps://blog.schoergendorfer.com/post/when-text-misleads-inconsistent-aware-reasoning-for-audio-grounded-dialogueSecFeedde2026-08-28T06:17:41.188808+00:00When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded Dialoguehttps://blog.schoergendorfer.com/post/llms-in-digital-eda-a-perspective-on-shifting-roles-from-generation-to-orchestraSecFeedde2026-08-28T06:17:41.167185+00:00LLMs in Digital EDA: A perspective on shifting roles from Generation to Orchestrationhttps://blog.schoergendorfer.com/post/antshapes-benchmarking-datasets-for-event-based-neuromorphic-object-classificatiSecFeedde2026-08-28T06:17:41.143465+00:00ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classificationhttps://blog.schoergendorfer.com/post/safety-does-not-compose-non-decaying-loop-state-for-autonomous-llm-agentsSecFeedde2026-08-28T06:17:41.115712+00:00Safety Does Not Compose: Non-Decaying Loop State for Autonomous LLM Agentshttps://blog.schoergendorfer.com/post/active-sensing-to-characterize-the-heterogeneity-of-plant-stressSecFeedde2026-08-28T06:17:41.069209+00:00Active sensing to characterize the heterogeneity of plant stresshttps://blog.schoergendorfer.com/post/emotional-preferences-as-goal-priority-regulationSecFeedde2026-08-28T06:03:40.405904+00:00Emotional Preferences as Goal-Priority Regulationhttps://blog.schoergendorfer.com/post/performance-foundations-of-parallel-distributed-reasoning-language-modelsSecFeedde2026-08-28T06:03:40.376286+00:00Performance Foundations of Parallel & Distributed Reasoning Language Modelshttps://blog.schoergendorfer.com/post/beyond-classification-task-dependent-learnability-under-privacy-motivated-imageSecFeedde2026-08-28T06:03:40.342010+00:00Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image 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Systemshttps://blog.schoergendorfer.com/post/plcbench-can-autonomous-llm-agents-turn-plc-access-into-sustained-physical-impacSecFeedde2026-08-28T06:03:40.141041+00:00PLCBench: Can Autonomous LLM Agents Turn PLC Access into Sustained Physical Impact?https://blog.schoergendorfer.com/post/from-reasoning-to-pixels-grounded-medical-multimodal-llms-for-vqa-and-segmentatiSecFeedde2026-08-28T06:03:40.089762+00:00From Reasoning to Pixels: Grounded Medical Multimodal LLMs for VQA and Segmentationhttps://blog.schoergendorfer.com/post/reinforcement-learning-based-control-of-cav-platoon-joining-maneuvers-in-mixed-tSecFeedde2026-08-28T06:03:40.048768+00:00Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed Traffichttps://blog.schoergendorfer.com/post/medfg-vqa-low-frequency-memory-and-graph-attention-for-lightweight-medical-vqaSecFeedde2026-08-28T06:03:40.021856+00:00MedFG-VQA: Low-Frequency Memory and Graph Attention for Lightweight Medical 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Systemshttps://blog.schoergendorfer.com/post/investigating-the-influence-of-prompt-and-response-languages-on-llm-content-geneSecFeedde2026-08-28T05:32:39.569755+00:00Investigating the Influence of Prompt and Response Languages on LLM Content Generationhttps://blog.schoergendorfer.com/post/when-the-canonical-completion-is-wrong-formalizing-and-measuring-the-jump-in-larSecFeedde2026-08-28T05:32:39.544864+00:00When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Modelshttps://blog.schoergendorfer.com/post/paceshop-evaluating-personalized-actionable-compositional-and-evidence-groundedSecFeedde2026-08-28T05:32:39.517520+00:00PACEShop: Evaluating Personalized, Actionable, Compositional, and Evidence-grounded Shopping Assistantshttps://blog.schoergendorfer.com/post/a-multi-framework-comparison-of-outline-stages-in-long-form-generation-with-llmsSecFeedde2026-08-28T05:32:39.490169+00:00A Multi-Framework Comparison of Outline Stages in Long-Form Generation with LLMshttps://blog.schoergendorfer.com/post/lost-in-compression-a-controlled-cross-lingual-audit-of-extractive-prompt-compreSecFeedde2026-08-28T05:32:39.434342+00:00Lost in Compression: A Controlled Cross-Lingual Audit of Extractive Prompt Compressorshttps://blog.schoergendorfer.com/post/drl-a-deterministic-relational-middleware-layer-for-transaction-safe-enterpriseSecFeedde2026-08-28T05:32:39.383089+00:00DRL: A Deterministic Relational Middleware Layer for Transaction-Safe Enterprise NL2SQL Under Schema-Graph Scalinghttps://blog.schoergendorfer.com/post/hallucinations-in-llms-a-lifecycle-based-survey-of-causes-detection-mitigation-aSecFeedde2026-08-28T05:32:39.351503+00:00Hallucinations in LLMs: A Lifecycle-Based Survey of Causes, Detection, Mitigation, and Preventionhttps://blog.schoergendorfer.com/post/using-poly-encoders-for-computationally-efficient-automated-creativity-assessmenSecFeedde2026-08-28T05:17:34.674812+00:00Using Poly-Encoders for Computationally Efficient Automated 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