Medical Question Answering

2 items

RESEARCHarXiv CS.CL·4d ago

Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO

This research investigates optimizing Large Language Models (LLMs) for heart-focused medical question answering using Group Relative Policy Optimization (GRPO) for post-training. A Variance-Aware Reward Framework is proposed to enhance rubric-based supervision with continuous analytical reward functions.

LLMs Medical Question Answering GRPO healthcare AI

RESEARCHarXiv CS.CL·5d ago

When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG

A large-scale study re-evaluates Retrieval-Augmented Generation (RAG) in medical question answering, finding only small and inconsistent improvements over no-retrieval baselines. It suggests that the choice of the backbone model is more critical than retrieval methods, and the main bottleneck is the model's ability to effectively use retrieved evidence.

RAG Medical Question Answering Biomedical AI large language models