Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning

23 October 2022

Papers citing "Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning"

7 / 7 papers shown

Title
Plug-and-Play Transformer Modules for Test-Time Adaptation Xiangyu Chang Sk. Miraj Ahmed S. Krishnamurthy Başak Güler A. Swami Samet Oymak A. Roy-Chowdhury 30 0 0 06 Jan 2024
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation Qihuang Zhong Liang Ding Juhua Liu Bo Du Dacheng Tao VLM CLL 29 41 0 22 Aug 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 137 277 0 15 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018