Self-Preference Bias

Self-preference bias is the tendency of an LLM to rate or verify text more favorably when that text was generated by itself or a closely related model, even when the content is factually flawed. This makes using a model (or its close kin) as an automated fact-checker or judge of its own outputs unreliable, since it grades stylistically familiar text more leniently rather than scrutinizing it for errors.