LLMs Still Mistake False Beliefs for Truth Even After Direct Corrections
Researchers evaluated 24 top LLMs on a new KaBLE benchmark and found that all models, including GPT‑4o, frequently accept false first‑person statements as true despite explicit warnings, dropping accuracy dramatically. This reveals a persistent belief‑attribution bias that threatens reliability in high‑stakes applications.