LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks

LoRA employs lightweight modules to customize large language models (LLMs) for each downstream task or domain, where different learned additional modules represent diverse skills. Combining existing LoRAs to address new tasks can enhance the reusability of learned LoRAs, particularly beneficial for...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Hanqing, Ping, Bowen, Wang, Shuo, Han, Xu, Chen, Yun, Liu, Zhiyuan, Sun, Maosong
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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