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Say More with Less: Understanding Prompt Learning Behaviors through Gist
  Compression

Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression

25 February 2024
Xinze Li
Zhenghao Liu
Chenyan Xiong
Shi Yu
Yukun Yan
Shuo Wang
Ge Yu
    VLM
ArXivPDFHTML

Papers citing "Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression"

5 / 5 papers shown
Title
Active Instruction Tuning: Improving Cross-Task Generalization by
  Training on Prompt Sensitive Tasks
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks
Po-Nien Kung
Fan Yin
Di Wu
Kai-Wei Chang
Nanyun Peng
62
39
0
01 Nov 2023
Can Large Language Models Truly Understand Prompts? A Case Study with
  Negated Prompts
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang
Seonghyeon Ye
Minjoon Seo
ELM
LRM
87
64
0
26 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
1,114
0
18 Apr 2021
1