Diyang Dou

Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief

Large Language Models (LLMs) have achieved remarkable success across a wide range of natural language tasks, but often exhibit overconfidence and generate plausible yet incorrect answers. This overconfidence, especially in models undergone Reinforcement Learning from Human Feedback (RLHF), poses sig