Papers by Liuzhuozheng Li

1 papers
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification (2024.emnlp-main)

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Challenge: Recent advances in fine-tuning Vision-Language Models have seen the success of prompt tuning and adapter tuning.
Approach: They propose a method to fine-tune CLIP without introducing any overhead of extra parameters.
Outcome: The proposed method improves CLIP by 7.27% average harmonic mean accuracy.

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