Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation

6 October 2022

Boyang Albert Li

Papers citing "Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation"

11 / 11 papers shown

Title
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 29 2 0 15 Jun 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? Rheeya Uppaal Yixuan Li Junjie Hu 25 4 0 31 Jan 2024
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition Yige Xu Zhiwei Zeng Zhiqi Shen VLM 10 2 0 23 Oct 2023
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation Quanyu Long Tianze Luo Wenya Wang Sinno Jialin Pan 38 8 0 10 Jul 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 131 276 0 15 Oct 2021
Effectiveness of Pre-training for Few-shot Intent Classification Haode Zhang Yuwei Zhang Li-Ming Zhan Jiaxin Chen Guangyuan Shi Xiao-Ming Wu Albert Y. S. Lam VLM 72 44 0 13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 243 340 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 205 430 0 25 Sep 2019