Conference
Aug 2026
Post-Training for Reasoning LLMs with Reinforcement Learning: A Stability–Efficiency Perspective
Reinforcement Learning (RL)-based post-training has become a key mechanism for improving reasoning Large Language Models (LLMs), especially when automated verifiers enable Reinforcement Learning with Verifiable Reward (RLVR). Recent methods, however, are increasingly modular: many apparent algorithmic advances recombin...
Liu Yang, Han Zhu, Zheng-Yang Zhong et al.
· International Conference on... · 2 citations