https://blog.schoergendorfer.com/post/when-tokenizers-fail-byte-level-chunking-for-zero-shot-transfer-to-low-resourceSecFeedde2026-08-31T06:32:23.483241+00:00When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languageshttps://blog.schoergendorfer.com/post/trajectory-level-speculative-decoding-for-diffusion-language-modelsSecFeedde2026-08-31T06:32:23.460665+00:00Trajectory-Level Speculative Decoding for Diffusion Language Modelshttps://blog.schoergendorfer.com/post/a-survey-on-rubric-guided-reinforcement-learning-for-language-modelsSecFeedde2026-08-31T06:32:23.438269+00:00A Survey on Rubric-Guided Reinforcement Learning for Language Modelshttps://blog.schoergendorfer.com/post/inspire-an-internalize-then-improve-approach-for-example-driven-mathematical-reaSecFeedde2026-08-31T06:32:23.414900+00:00INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoninghttps://blog.schoergendorfer.com/post/xhotpotqa-a-benchmark-for-cross-lingual-knowledge-composition-in-multi-hop-questSecFeedde2026-08-31T06:32:23.390759+00:00XHotpotQA: A Benchmark for Cross-Lingual Knowledge Composition in Multi-Hop Question Answeringhttps://blog.schoergendorfer.com/post/select-dont-train-the-benefits-of-modular-entity-disambiguation-with-llm-based-sSecFeedde2026-08-31T06:32:23.368753+00:00Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selectionhttps://blog.schoergendorfer.com/post/uic-aihealth4all-at-archehr-qa-2026-answer-first-evidence-grounding-for-clinicalSecFeedde2026-08-31T06:32:23.344714+00:00UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answeringhttps://blog.schoergendorfer.com/post/pace-publisher-adaptive-content-extraction-via-agentic-automationSecFeedde2026-08-31T06:32:23.321533+00:00PACE: Publisher-Adaptive Content Extraction via Agentic Automationhttps://blog.schoergendorfer.com/post/the-effect-of-emotional-context-on-large-language-models-endorsement-of-prematurSecFeedde2026-08-31T06:32:23.298268+00:00The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Modelshttps://blog.schoergendorfer.com/post/sledgehammer-or-scalpel-a-fine-grained-adaptive-framework-for-implicit-hate-speeSecFeedde2026-08-31T06:32:23.275307+00:00Sledgehammer or Scalpel? 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