Measuring Mechanistic Uncertainty in Large Language Models via Causal Robustness
Large language models (LLMs) are increasingly used in critical domains, where their susceptibility to hallucinations makes reliable and interpretable uncertainty quantification essential.
By Aneesh Komanduri, Majid Afshar, Timothy A. Miller, Yanjun GaoarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 19, 2026.
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