2 papers
cs.AI2026
Process-Supervised Multi-Agent Reinforcement Learning for Reliable Clinical Reasoning
Chaeeun Lee, T. Michael Yates, Pasquale Minervini +1
Clinical decision-making requires nuanced reasoning over heterogeneous evidence and traceable justifications. While recent LLM multi-agent systems (MAS) show promise, they largely…
cs.CL2024
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
Aryo Pradipta Gema, Chaeeun Lee, Pasquale Minervini +3
The MEDIQA-CORR 2024 shared task aims to assess the ability of Large Language Models (LLMs) to identify and correct medical errors in clinical notes. In this study, we evaluate the…