most citedRiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction

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cs.AI2025

Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization

Boyang Gu, Hongjian Zhou, Bradley Max Segal +6

Recent advances in large language models (LLMs) have shown strong reasoning capabilities through large-scale pretraining and post-training reinforcement learning, demonstrated by D…