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cs.CL2026
From Correctness to Utility: Gain-Based Prefix Evaluation for LLM Reasoning
Yuhang Zhou, Yixin Cao, Guangnan Ye
Reasoning prefixes shape the future trajectory of LLM problem solving, yet existing process reward models usually evaluate them through local step correctness. We argue that correc…
cs.CL2025
Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation
Zongxia Li, Yapei Chang, Yuhang Zhou +4
Evaluating open-ended long-form generation is challenging because it is hard to define what clearly separates good from bad outputs. Existing methods often miss key aspects like co…