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2025 ICML ICML 2025

Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning

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

Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Learning Types > Transfer Learning Artificial Intelligence > Core AI > Large Language Models

Keywords

parameter importance fine tuning accumulated gradient values downstream specialization importance-aware allocation pre-trained weight magnitude
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