most citedSeed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

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cs.LG2025

A Unified Pairwise Framework for RLHF: Bridging Generative Reward Modeling and Policy Optimization

Wenyuan Xu, Xiaochen Zuo, Chao Xin +3

Reinforcement Learning from Human Feedback (RLHF) has emerged as a important paradigm for aligning large language models (LLMs) with human preferences during post-training. This fr…