1
LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data
揭示LLM在临床表格数据上的认知盲点，提出跨模型归因分歧检测新方法，提升模型可信度与安全应用。
arXiv:2606.19509v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly applied to structured clinical data, yet whether they ca…