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2025 ICML ICML 2025

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Application Areas > Domain Adaptation Artificial Intelligence > Core AI > Large Language Models

Keywords

distribution shift out of distribution information-theoretic framework in-distribution effective mutual information visual discrepancies
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