2 papers
cs.CL2026
LODESTAR: Robust Entropy-Based Answer Selection in Retrieval-Augmented Generation for Question Answering -- Directing Frozen-LLM Entropy with a Reinforcement-Learned Prompt Polarizer under Misleading Passages
Po-Jen Ko, Che-Cheng Wu, Hung-Chun Hsu +2
Predictive-distribution entropy is a strong answer-selection rule in retrieval-augmented generation (RAG) for question answering: across five QA benchmarks, selecting the answer a…
cs.CL2026
DeCode: Decoupling Content and Delivery for Medical QA
Po-Jen Ko, Chen-Han Tsai, Yu-Shao Peng
Large language models (LLMs) exhibit strong medical knowledge and can generate factually accurate responses. However, existing models often fail to account for individual patient c…