Reducing Retraining by Recycling Parameter-Efficient Prompts

Reducing Retraining by Recycling Parameter-Efficient Prompts

10 August 2022

Joshua Yurtsever

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Papers citing "Reducing Retraining by Recycling Parameter-Efficient Prompts"

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Title
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models Naibin Gu Peng Fu Xiyu Liu Ke Ma Zheng Lin Weiping Wang 30 0 0 07 Jun 2025
Efficient Model Development through Fine-tuning Transfer Pin-Jie Lin Rishab Balasubramanian Fengyuan Liu Nikhil Kandpal Tu Vu 191 2 0 25 Mar 2025
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs Nicolas Boizard Kevin El Haddad C´eline Hudelot Pierre Colombo 163 19 0 28 Jan 2025
Training LLMs over Neurally Compressed Text Brian Lester Jaehoon Lee A. Alemi Jeffrey Pennington Adam Roberts Jascha Narain Sohl-Dickstein Noah Constant 92 7 0 04 Apr 2024
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models Xinyu Tian Shu Zou Zhaoyuan Yang Jing Zhang VLM 95 25 0 27 Nov 2023
Review of Large Vision Models and Visual Prompt Engineering Jiaqi Wang Zheng Liu Lin Zhao Zihao Wu Chong Ma ... Bao Ge Yixuan Yuan Dinggang Shen Tianming Liu Shu Zhang VLM LRM 157 163 0 03 Jul 2023
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models Nikhil Kandpal Brian Lester Mohammed Muqeeth Anisha Mascarenhas Monty Evans Vishal Baskaran Tenghao Huang Haokun Liu Colin Raffel VLM 75 12 0 07 Jun 2023
VPGTrans: Transfer Visual Prompt Generator across LLMs Ao Zhang Hao Fei Yuan Yao Wei Ji Li Li Zhiyuan Liu Tat-Seng Chua MLLM VLM 92 89 0 02 May 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization Tao Ge Jing Hu Li Dong Shaoguang Mao Yanqiu Xia Xun Wang Si-Qing Chen Furu Wei VLM 87 7 0 01 Dec 2022
HyperTuning: Toward Adapting Large Language Models without Back-propagation Jason Phang Yi Mao Pengcheng He Weizhu Chen 96 34 0 22 Nov 2022