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cs.CL2026
Measuring Mechanistic Uncertainty in Large Language Models via Causal Robustness
Aneesh Komanduri, Majid Afshar, Timothy A. Miller +1
Large language models (LLMs) are increasingly used in critical domains, where their susceptibility to hallucinations makes reliable and interpretable uncertainty quantification ess…
cs.LG2026
Leveraging Foundation Models for Causal Generative Modeling
Aneesh Komanduri, Xintao Wu
Causal generative modeling is essential for developing reliable and transparent AI systems capable of counterfactual reasoning. While existing approaches focus on integrating causa…