Papers by Youxuan Fang

1 papers
Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency (2025.findings-emnlp)

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Challenge: Recent advances in multimodal large language models have remained opaque.
Approach: They propose a method to convert dense MLLMs into fine-grained Mixture-of-Experts architectures.
Outcome: The proposed method outperforms random expert pruning and sparse activation and model pruning.

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