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Uncertainty-Aware Decision Making in Multimodal Large Language Models
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multimodaluncertaintydecision-makingMLLM
2608.17084
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2h ago70%
Abstract
This paper surveys the literature on uncertainty-aware multimodal large language models (MLLMs) and organizes it around a decision-centered framework.
Reality Card
Core Claim
The paper argues that uncertainty in MLLMs should be evaluated not just as a confidence number but by its impact on behavior under various conditions of evidence quality.
Method / Result
The survey reviews multiple sources of uncertainty and their implications for decision-making in MLLMs.
Limitations
The paper identifies open problems in calibration under shift and black-box uncertainty estimation, which may affect reproducibility.
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