Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs

Hexiang Tan, Fei Sun, Sha Liu +8

As large language models (LLMs) often generate plausible but incorrect content, error detection has become increasingly critical to ensure truthfulness. However, existing detection…