When to Trust LLMs: Aligning Confidence with Response Quality

Shuchang Tao, Liuyi Yao, Hanxing Ding +6

Despite the success of large language models (LLMs) in natural language generation, much evidence shows that LLMs may produce incorrect or nonsensical text. This limitation highlig…