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Efficiently Tuned Parameters are Task Embeddings

Efficiently Tuned Parameters are Task Embeddings

21 October 2022
Wangchunshu Zhou
Canwen Xu
Julian McAuley
ArXiv (abs)PDFHTML

Papers citing "Efficiently Tuned Parameters are Task Embeddings"

18 / 18 papers shown
Title
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLMLRM
198
289
0
15 Oct 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
171
1,240
0
18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
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
OffRLAI4TSAI4CEALMAIMat
485
10,496
0
17 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
581
4,077
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
250
4,298
0
01 Jan 2021
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
82
405
0
14 Dec 2020
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
241
1,549
0
24 May 2019
Task2Vec: Task Embedding for Meta-Learning
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille
Michael Lam
Rahul Tewari
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Stefano Soatto
Pietro Perona
SSL
77
315
0
10 Feb 2019
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
188
2,689
0
25 Sep 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALMELM
290
2,853
0
11 Jun 2018
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
240
1,413
0
31 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
1.1K
7,196
0
20 Apr 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
227
11,565
0
15 Feb 2018
Constructing Datasets for Multi-hop Reading Comprehension Across
  Documents
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl
Pontus Stenetorp
Sebastian Riedel
SyDaRALM
98
512
0
17 Oct 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
524
4,492
0
18 Apr 2017
NewsQA: A Machine Comprehension Dataset
NewsQA: A Machine Comprehension Dataset
Adam Trischler
Tong Wang
Xingdi Yuan
Justin Harris
Alessandro Sordoni
Philip Bachman
Kaheer Suleman
106
893
0
29 Nov 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
312
8,169
0
16 Jun 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
321
4,293
0
21 Aug 2015
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