Papers by Zhuo Gou

1 papers
Evolutionary Negative Module Pruning for Better LoRA Merging (2026.acl-long)

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Challenge: Existing methods for integrating multiple low-rank Adaptation experts into a single backbone are limited by negative modules.
Approach: They propose a plug-and-play LoRA pruning method to locate and exclude negative modules prior to merging.
Outcome: The proposed method boosts the performance of existing merging algorithms across languages and vision domains.

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