Author

Jian-Guo Yao

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#artificial intelligence Preprint Sep 2026

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. We therefore directly assess certainty's predictive ability through controlled empirica...

Yun-Fan Zhou, Ye Zhu, Zhi-Hai Wang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

To Think or Not to Think: Allocating Reasoning Where It Helps

This paper proposes CARE, a method which compares the beneficial length adjustment per question from online sampled responses and applies adaptive length rewards within Group Relative Policy Optimization, with no extra hyperparameters or additional inference cost.

Zheng-Dong He, Yun-Fan Zhou, Jian-Guo Yao et al. · 0 citations