arXiv cs.CLPaper
Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge
This is a real and persistent problem: LLMs don't just get long-tail facts wrong, they systematically forget one side of a disagreement. Scaling helps but doesn't fix it. If you're building systems that need to handle controversy, ambiguity, or multiple valid frames, this paper proves that disclaimers aren't enough. You need explicit retrieval and explicit reasoning over sources, not just model weights.