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Learning to Compress Prompts with Gist Tokens

Learning to Compress Prompts with Gist Tokens

17 April 2023
Jesse Mu
Xiang Lisa Li
Noah D. Goodman
    VLM
ArXivPDFHTML

Papers citing "Learning to Compress Prompts with Gist Tokens"

15 / 165 papers shown
Title
In-context Autoencoder for Context Compression in a Large Language Model
In-context Autoencoder for Context Compression in a Large Language Model
Tao Ge
Jing Hu
Lei Wang
Xun Wang
Si-Qing Chen
Furu Wei
RALM
40
68
0
13 Jul 2023
Extending Context Window of Large Language Models via Positional
  Interpolation
Extending Context Window of Large Language Models via Positional Interpolation
Shouyuan Chen
Sherman Wong
Liangjian Chen
Yuandong Tian
17
494
0
27 Jun 2023
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large
  Language Models
H2_22​O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
Zhenyu (Allen) Zhang
Ying Sheng
Dinesh Manocha
Tianlong Chen
Lianmin Zheng
...
Yuandong Tian
Christopher Ré
Clark W. Barrett
Zhangyang Wang
Beidi Chen
VLM
58
255
0
24 Jun 2023
Propagating Knowledge Updates to LMs Through Distillation
Propagating Knowledge Updates to LMs Through Distillation
Shankar Padmanabhan
Yasumasa Onoe
Michael J.Q. Zhang
Greg Durrett
Eunsol Choi
KELM
12
18
0
15 Jun 2023
Landmark Attention: Random-Access Infinite Context Length for
  Transformers
Landmark Attention: Random-Access Infinite Context Length for Transformers
Amirkeivan Mohtashami
Martin Jaggi
LLMAG
27
149
0
25 May 2023
Identifying Informational Sources in News Articles
Identifying Informational Sources in News Articles
Alexander Spangher
Nanyun Peng
Jonathan May
Emilio Ferrara
29
5
0
24 May 2023
Adapting Language Models to Compress Contexts
Adapting Language Models to Compress Contexts
Alexis Chevalier
Alexander Wettig
Anirudh Ajith
Danqi Chen
LLMAG
16
174
0
24 May 2023
Efficient Prompting via Dynamic In-Context Learning
Efficient Prompting via Dynamic In-Context Learning
Wangchunshu Zhou
Yuchen Eleanor Jiang
Ryan Cotterell
Mrinmaya Sachan
27
19
0
18 May 2023
Not what you've signed up for: Compromising Real-World LLM-Integrated
  Applications with Indirect Prompt Injection
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Kai Greshake
Sahar Abdelnabi
Shailesh Mishra
C. Endres
Thorsten Holz
Mario Fritz
SILM
49
439
0
23 Feb 2023
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value
  Adaptors
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen
S. Sankaranarayanan
Hamid Palangi
Yoon Kim
Marzyeh Ghassemi
KELM
22
145
0
20 Nov 2022
Learning by Distilling Context
Learning by Distilling Context
Charles Burton Snell
Dan Klein
Ruiqi Zhong
ReLM
LRM
168
44
0
30 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
345
12,003
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
398
8,559
0
28 Jan 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
215
1,661
0
15 Oct 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
280
3,858
0
18 Apr 2021
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