Dissecting Training-Free Uncertainty Estimation in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have achieved remarkable performance across a wide range of multimodal tasks, yet understanding and quantifying their predictive uncertainty remains underexplored despite being central for safety critical applications. In this work, we present a systematic study of training-free...
Soroush Seifi, Vaggelis Dorovatas, Lin Li et al.
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