A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on
Chinese Instruction Data for Instruction Following Large Language Model

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A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model

17 April 2023

Xiangang Li

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Papers citing "A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model"

15 / 15 papers shown

Title
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 124 3 0 23 Oct 2024
Constitutional AI: Harmlessness from AI Feedback Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell John Kernion ... Dario Amodei Nicholas Joseph Sam McCandlish Tom B. Brown Jared Kaplan SyDa MoMe 214 1,646 0 15 Dec 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 414 2,393 0 09 Nov 2022
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng Zhang Yuxiao Dong Jie Tang BDL LRM 362 1,094 0 05 Oct 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 123 859 0 16 Apr 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models Tianbao Xie Chen Henry Wu Peng Shi Ruiqi Zhong Torsten Scholak ... Lingpeng Kong Rui Zhang Noah A. Smith Luke Zettlemoyer Tao Yu LMTD 108 304 0 16 Jan 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 290 185 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 592 4,093 0 18 Apr 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections Ruiqi Zhong Kristy Lee Zheng Zhang Dan Klein 97 173 0 10 Apr 2021
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 168 1,182 0 18 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 252 4,305 0 01 Jan 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 110 571 1 22 Dec 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning Zhaojiang Lin Andrea Madotto Pascale Fung 101 162 0 08 Apr 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 491 1,768 0 18 Sep 2019

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