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#natural language process... Preprint Aug 2026

Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented Generation

Cross-dataset analysis shows that semantic chunking improves extraction datasets with explicit relation cues, such as GM-CIHT and DDI, while fixed chunking remains competitive or stronger for dense biochemical extraction and binary classification settings such as ChemProt and ADE.

Riya Ahuja, Tim Kacprowski, Roya Shiasi Sardoabi Institute of Data Science in Biomedicine et al. · 0 citations
Preprint Aug 2026

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models

The results show that LVLM predictions are sensitive to lexical, OCR-derived and stylistic cues, with injected surface signals causing substantial changes in model predictions despite unchanged underlying image-text relationships.

Zhanna Mukhametsharip, Vera Demberg, Varsha Suresh Saarland University et al. · 0 citations

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