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Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?

16 February 2023
Chengwei Qin
Q. Li
Ruochen Zhao
Shafiq R. Joty
    VLM
    LRM
ArXivPDFHTML

Papers citing "Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?"

16 / 16 papers shown
Title
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
Jianyu Liu
Yi Huang
Sheng Bi
Junlan Feng
Guilin Qi
23
2
0
08 Apr 2025
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved
  In-Context Learning
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
Sanchit Sinha
Yuguang Yue
Victor Soto
Mayank Kulkarni
Jianhua Lu
Aidong Zhang
LRM
29
4
0
19 May 2024
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
175
263
0
30 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning
Learning a Better Initialization for Soft Prompts via Meta-Learning
Yukun Huang
Kun Qian
Zhou Yu
VLM
31
8
0
25 May 2022
TRGP: Trust Region Gradient Projection for Continual Learning
TRGP: Trust Region Gradient Projection for Continual Learning
Sen Lin
Li Yang
Deliang Fan
Junshan Zhang
CLL
78
72
0
07 Feb 2022
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 Matthew Cer
VLM
LRM
137
276
0
15 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
218
155
0
15 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq R. Joty
CLL
158
96
0
14 Oct 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
209
179
0
18 Apr 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
278
3,784
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
205
247
0
19 Oct 2020
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
210
188
0
03 May 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
256
1,584
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
396
2,576
0
03 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
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