Author

Ruochen Zhao

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#natural language process... Preprint Sep 2026

Calibration, Not Answer Selection: Distilling Internal Confidence in Reasoning Models

Reinforcement learning with binary correctness rewards trains correctness, not calibrated confidence. The confidence that reasoning models verbalize is systematically overconfident, and the problem is not merely one of scale: verbalized confidence tracks how willing a model is to commit to an answer, not how likely the...

Ya-Dong Xi, Rong-Sheng Zhang, Tang-Jie Lv et al. · 0 citations

#artificial intelligence Mar 2026

Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems

Unified-MAS is proposed that decouples granular node implementation from topological orchestration via offline node synthesis via offline node synthesis and is robustness across different designer LLMs and its effectiveness on conventional tasks such as mathematical reasoning.

Hehai Lin, Yuliang Yan, Zixuan Wang et al. · arXiv.org · 2 citations