1651-InfoFlowEX for Biomedical Knowledge Extraction
Researchers introduce InfoFlowEX, a unified framework designed to improve how large language models (LLMs) extract structured data from complex biomedical text. The system addresses the inconsistency of existing resources by using ontology-guided alignment to merge 40 diverse datasets into a massive, standardized benchmark called BIE-Corpus. To improve performance, the authors utilize task-conditioned schema instruction tuning, which uses code-based representations to help models adapt to specific extraction requirements. Evaluation across various models proves that this method significantly…
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