Author

Xiuyi Lou

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#machine learning Jul 2026

When Implausible Tokens Get Reinforced: Tail-Aware Credit Calibration for LLM Reinforcement Learning

Tail-Aware Credit calibratiOn (TACO), a method that calibrates uniform credit assignment to suppress undesirable positive updates in RL, and improves training stability, supporting sustained performance gains in long-horizon RL.

Xiuyi Lou, Zi-Cheng Xu, Yu-Neng Chuang et al. · arXiv.org · 1 citation