Certainty Is Not Just Correctness: Rethinking Token-Level Certainty in LLM Reasoning
Token-level certainty is widely used as a proxy for correctness in LLM training and inference. However, the performance of certainty-based methods depends both on the information in certainty scores and on how those scores are used.
By Yunfan Zhou, Ye Zhu, Zhihai Wang, Jianguo Yao, Haibing Guan, Xijun LiarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 2, 2026.
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