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#structured reasoning

MediX-R1: Open Ended Medical Reinforcement Learning

Sahal Shaji Mullappilly, Mohammed Irfan Kurpath et al.Feb 26arXiv

MediX-R1 teaches medical AI models to give clear, free-form answers (not just A, B, C, or D) and to explain their thinking.

#medical multimodal RL#open-ended reinforcement learning#composite reward

Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning

Tong Wu, Yang Liu et al.Dec 8arXiv

This paper teaches a language model to think along several paths at the same time instead of one step after another.

#parallel reasoning#reinforcement learning for LLMs#self-distillation