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Run-Jia Zeng

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#artificial intelligence Preprint Sep 2026

On the Token Value Inequality in Efficient Reasoning

This work presents a diagnostic and optimization framework grounded in a key empirical finding: the value of tokens within a CoT reasoning sequence is highly non-uniform, and this non-uniformity can be effectively characterized by token-level log probability signals.

Run-Jia Zeng, Hang Hua, Yiyang Liu et al. · 0 citations