Author

Yilong Xu

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#natural language process... Preprint Sep 2026

Shared Experience, Separate Learning: Companion Confidence Calibration for LLMs

CoCal is introduced, which trains a lightweight companion from rollout hidden states and verifier-derived correctness supervision while leaving task optimization unchanged, and shows that CoCal improves confidence estimation without sacrificing task performance, outperforming both RL-based concurrent methods and matche...

Shi-Yu Ni, Ke-Ping Bi, Jia-Feng Guo et al. · 0 citations

#artificial intelligence Feb 2026

To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models

The RLVR across domains exhibits small mutual interferences, and reasoning-intensive domains have mutually synergistic effects, and the internal mechanisms from the perspectives of information constraints, model prediction behavior and self-verification are analyzed.

Haoqing Wang, Xiang Long, Ziheng Li et al. · arXiv.org · 11 citations