On the Out-Of-Distribution Generalization of Multimodal Large Language Models
The article investigates the generalization capabilities of Multimodal Large Language Models (MLLMs) under out-of-distribution scenarios and domain-specific tasks. Evaluations across synthetic images, real-world distributional shifts, and specialized datasets like medical…
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