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Zhemg Lee

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Conference Open access 2026

LeLoRA: Learnable Low-Rank Adaptation of Large Language Models

A novel Le arnable Lo w-R ank A daptation (LeLoRA) framework that utilizes dynamically learned fine-tuning strategies to facilitate the effective adaptation of LLMs and provides compelling evidence that LeLoRA consistently outperforms existing baselines in adapting LLMs.

Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al. · 0 citations

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