1
The Anatomy of Uncertainty in LLMs
系统解剖LLM中不确定性的来源与量化方法，为可信AI提供理论基础。
arXiv:2603.24967v2 Announce Type: replace Abstract: Understanding why a large language model (LLM) is uncertain about the response is important for th…
2
Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models
首次提出零样本跨语言置信度估计方法，无需目标语言标注即可评估模型预测的可靠性。
arXiv:2605.31220v1 Announce Type: cross Abstract: Confidence estimation (CE), i.e. quantifying the reliability of a model's prediction, has attracted …
3
LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations
用强化学习提升长文本生成中置信度表达，直击大模型幻觉难题。
arXiv:2505.23912v2 Announce Type: replace-cross Abstract: Hallucination remains a major challenge for the safe and trustworthy deployment of large lan…