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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
#natural language process... Preprint May 2025

Popular but Wrong: Understanding and Mitigating LLM Overconfidence through Knowledge Popularity

It is shown that popularity-related signals can mitigate overconfidence and improve overall confidence estimation, and incorporate knowledge popularity reduces average confidence on incorrect answers and improves overall confidence estimation.

Shiyu Ni, Keping Bi, Jiafeng Guo et al. · 6 citations

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