Trust, but Don't Verify: Epistemic Blind Spots in LLM Source Evaluation 事件

Trust, but Don't Verify: Epistemic Blind Spots in LLM Source Evaluation arXiv:2606.05403v1 Announce Type: cross Abstract: Language models increasingly act as epistemic proxies, synthesizing evidence from multiple sources to inform decisions. Whether they evaluate the quality of that evidence, or merely aggregate it based on surface presentation, remains poorly understood. We show that models possess the capability to detect fabricated statistics (correct identification rates of 0.76-1.00 for me