| Residential College | false |
| Status | 已發表Published |
| AQLoRA: An Adaptive Quantization-based Efficient Fine-tuning Method for LLMs | |
Xingchen Huang1; Yujia Huo1,2 ; Derek F. Wong2 ; Yao Wang1; Liqiong Cai1; Yonghong Jiang3
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| 2024-11 | |
| Conference Name | The 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2024) |
| Source Publication | The 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2024)
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| Conference Date | 1-11-2024 |
| Conference Place | Hangzhou, China |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Corresponding Author | Yujia Huo |
| Affiliation | 1.Guizhou Minzu University 2.University of Macau 3.Guizhou SiSo Electronics Co., LTD |
| Corresponding Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Xingchen Huang,Yujia Huo,Derek F. Wong,et al. AQLoRA: An Adaptive Quantization-based Efficient Fine-tuning Method for LLMs[C], 2024. |
| APA | Xingchen Huang., Yujia Huo., Derek F. Wong., Yao Wang., Liqiong Cai., & Yonghong Jiang (2024). AQLoRA: An Adaptive Quantization-based Efficient Fine-tuning Method for LLMs. The 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2024). |
| Files in This Item: | There are no files associated with this item. | |||||
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