BELIEF: Structured Evidence Modeling and Uncertainty-Aware Fusion for Biomedical Question Answering

In three linesBELIEF combines structured evidence modeling and uncertainty-aware fusion for biomedical question answering. The framework converts retrieved documents into evidence objects (clinical attributes, source quality, relevance, support strength) and fuses two reasoning paths: symbolic (Dempster-Shafer theory) and neural (LLM). SOTA results on PubMedQA, MedQA, MedMCQA across 5 LLM backbones.

Summary generated by Claude — human-verified