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cs.CV2026
Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking
Haoyang Luo, Linwei Tao, Jie Gui +4
Multimodal Large Language Models (MLLMs) suffer from hallucinations, creating a critical need for Uncertainty Quantification (UQ) to ensure reliable deployment. However, existing a…
cs.CV2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Haoyang Luo, Linwei Tao, Minjing Dong +1
Model calibration seeks to ensure that models produce confidence scores that accurately reflect the true likelihood of their predictions being correct. However, existing calibratio…