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Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking.

arXiv:2610.02887v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) suffer from hallucinations, creating a critical need for Uncertainty Quantification (UQ) to ensure reliable deployment. However, existing approaches struggle to detect u

arXiv cs.AIResearch source·