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20232026
most citedHuman Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

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cs.CL2026

Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models

Jiayun Wu, Peixu Hou, Shan Qu +4

Reward models (RMs) are critical for aligning Large Language Models via Reinforcement Learning from Human Feedback (RLHF). While Generative Reward Models (GRMs) achieve superior ac…