Calibrating LLMs with Semantic-level Reward

Fengfei Yu, Ruijia Niu, Dongxia Wu +2

As large language models (LLMs) are deployed in consequential settings such as medical question answering and legal reasoning, the ability to estimate when their outputs are likely…