arXiv Machine Learning July 7, 2026 By Chee Heng Tan, Zhuoyi Lin, Mehul Motani, Wee Sun Lee

On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models

Read the original on arXiv Machine Learning →

arXiv:2607. 04332v1 Announce Type: new Abstract: In this paper, we consider the setting where large language models (LLMs) are trained using reinforcement learning (RL) to simultaneously improve reasoning accuracy and verbalize its confidence.

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