most citedAdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following

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cs.LG2025

Bradley-Terry Policy Optimization for Generative Preference Modeling

Shengyu Feng, Yun He, Shuang Ma +12

Reinforcement learning (RL) has recently proven effective at scaling chain-of-thought (CoT) reasoning in large language models for tasks with verifiable answers. However, extending…