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Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good
  movie, and a good prompt too?

Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?

20 December 2022
Weijia Shi
Xiaochuang Han
Hila Gonen
Ari Holtzman
Yulia Tsvetkov
Luke Zettlemoyer
ArXivPDFHTML

Papers citing "Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?"

20 / 20 papers shown
Title
CAPO: Cost-Aware Prompt Optimization
CAPO: Cost-Aware Prompt Optimization
Tom Zehle
Moritz Schlager
Timo Heiß
Matthias Feurer
VLM
52
0
0
22 Apr 2025
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Junhao Chen
Bowen Wang
Zhouqiang Jiang
Yuta Nakashima
36
1
0
20 Aug 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for
  Prompt Tuning with RL
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
Yunseon Choi
Sangmin Bae
Seonghyun Ban
Minchan Jeong
Chuheng Zhang
Lei Song
Li Zhao
Jiang Bian
Kee-Eung Kim
VLM
AAML
29
3
0
20 Jul 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
Shouchang Guo
Sonam Damani
Keng-hao Chang
VLM
28
1
0
27 Jun 2024
On the Transformations across Reward Model, Parameter Update, and
  In-Context Prompt
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
26
2
0
24 Jun 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt
  Engineer
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Bo-wen Li
Zhangyang Wang
31
29
0
27 Nov 2023
Strings from the Library of Babel: Random Sampling as a Strong Baseline
  for Prompt Optimisation
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation
Yao Lu
Jiayi Wang
Raphael Tang
Sebastian Riedel
Pontus Stenetorp
18
2
0
16 Nov 2023
Prompt have evil twins
Prompt have evil twins
Rimon Melamed
Lucas H. McCabe
T. Wakhare
Yejin Kim
H. H. Huang
Enric Boix-Adsera
14
3
0
13 Nov 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin-Xia Yu
Jianfeng Gao
MILM
14
46
0
17 May 2023
Demystifying Prompts in Language Models via Perplexity Estimation
Demystifying Prompts in Language Models via Perplexity Estimation
Hila Gonen
Srini Iyer
Terra Blevins
Noah A. Smith
Luke Zettlemoyer
LRM
25
194
0
08 Dec 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
180
77
0
16 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
PromptSource: An Integrated Development Environment and Repository for
  Natural Language Prompts
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach
Victor Sanh
Zheng-Xin Yong
Albert Webson
Colin Raffel
...
Khalid Almubarak
Xiangru Tang
Dragomir R. Radev
Mike Tian-Jian Jiang
Alexander M. Rush
VLM
215
335
0
02 Feb 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
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
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
248
340
0
01 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,977
0
31 Dec 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
251
1,584
0
21 Jan 2020
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