Qing-Yu Chen

CLEAR is proposed, an agentic framework for cross-source evidence adjudication in LLMs in medicine that independently generates candidate answers from three complementary pathways---parametric knowledge, locally curated corpora, and dynamically retrieved evidence---reflecting three common sources of information available to LLMs.

Performance gaps in multilingual medical evaluations reveal that proprietary models outperform open-source ones, but translation quality can swing results dramatically.

Retrieval strategies validated on one model can lead to significant performance gains in another, but only after rigorous experimental validation—VERDI makes this possible.