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Task Facet Learning: A Structured Approach to Prompt Optimization

Task Facet Learning: A Structured Approach to Prompt Optimization

15 June 2024
Gurusha Juneja
Gautam Jajoo
Nagarajan Natarajan
Hua Li
Jian Jiao
Amit Sharma
ArXivPDFHTML

Papers citing "Task Facet Learning: A Structured Approach to Prompt Optimization"

33 / 33 papers shown
Title
Effective In-Context Example Selection through Data Compression
Effective In-Context Example Selection through Data Compression
Zhongxiang Sun
Kepu Zhang
Haoyu Wang
Xiao Zhang
Jun Xu
75
2
0
19 May 2024
NICE: To Optimize In-Context Examples or Not?
NICE: To Optimize In-Context Examples or Not?
Pragya Srivastava
Satvik Golechha
Amit Deshpande
Amit Sharma
51
6
0
09 Feb 2024
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case
  Study in Medicine
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Harsha Nori
Yin Tat Lee
Sheng Zhang
Dean Carignan
Richard Edgar
...
Hoifung Poon
Tao Qin
Naoto Usuyama
Chris White
Eric Horvitz
LM&MA
AI4MH
MedIm
ELM
61
303
0
28 Nov 2023
Automatic Engineering of Long Prompts
Automatic Engineering of Long Prompts
Cho-Jui Hsieh
Si Si
Felix X. Yu
Inderjit S. Dhillon
VLM
41
8
0
16 Nov 2023
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author
  Prompt Editing
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
Xinyu Hu
Pengfei Tang
Simiao Zuo
Zihan Wang
Bowen Song
Qiang Lou
Jian Jiao
Denis Xavier Charles
LRM
58
8
0
20 Oct 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for
  Black-Box Language Models
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Zhihan Zhang
Shuohang Wang
Wenhao Yu
Yichong Xu
Dan Iter
Qingkai Zeng
Yang Liu
Chenguang Zhu
Meng Jiang
SyDa
ALM
40
24
0
19 Oct 2023
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural
  bandits Coupled with Transformers
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
Xiaoqiang Lin
Zhaoxuan Wu
Zhongxiang Dai
Wenyang Hu
Yao Shu
See-Kiong Ng
Patrick Jaillet
Bryan Kian Hsiang Low
54
10
0
02 Oct 2023
Large Language Models as Optimizers
Large Language Models as Optimizers
Chengrun Yang
Xuezhi Wang
Yifeng Lu
Hanxiao Liu
Quoc V. Le
Denny Zhou
Xinyun Chen
ODL
53
395
0
07 Sep 2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
Chenrui Zhang
Lina Liu
Jinpeng Wang
Chuyuan Wang
Xiaodi Sun
Hongyu Wang
Mingchen Cai
LLMAG
59
24
0
23 Aug 2023
Coverage-based Example Selection for In-Context Learning
Coverage-based Example Selection for In-Context Learning
Shivanshu Gupta
Matt Gardner
Sameer Singh
68
46
0
24 May 2023
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reid Pryzant
Dan Iter
Jerry Li
Y. Lee
Chenguang Zhu
Michael Zeng
45
321
0
04 May 2023
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?
Chengwei Qin
Q. Li
Ruochen Zhao
Shafiq Joty
VLM
LRM
39
15
0
16 Feb 2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained
  Language Model: An Empirical Study on Codex
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex
Terry Yue Zhuo
Zhuang Li
Yujin Huang
Fatemeh Shiri
Weiqing Wang
Gholamreza Haffari
Yuan-Fang Li
AAML
60
54
0
30 Jan 2023
Self-Adaptive In-Context Learning: An Information Compression
  Perspective for In-Context Example Selection and Ordering
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu
Yaoxiang Wang
Jiacheng Ye
Lingpeng Kong
46
128
0
20 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven
  Optimization
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bairu Hou
Jinghan Jia
Yihua Zhang
Guanhua Zhang
Yang Zhang
Sijia Liu
Shiyu Chang
SILM
AAML
37
21
0
19 Dec 2022
TEMPERA: Test-Time Prompting via Reinforcement Learning
TEMPERA: Test-Time Prompting via Reinforcement Learning
Tianjun Zhang
Xuezhi Wang
Denny Zhou
Dale Schuurmans
Joseph E. Gonzalez
VLM
38
37
0
21 Nov 2022
Active Example Selection for In-Context Learning
Active Example Selection for In-Context Learning
Yiming Zhang
Shi Feng
Chenhao Tan
SILM
LRM
53
191
0
08 Nov 2022
Large Language Models Are Human-Level Prompt Engineers
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou
Andrei Ioan Muresanu
Ziwen Han
Keiran Paster
Silviu Pitis
Harris Chan
Jimmy Ba
ALM
LLMAG
80
860
0
03 Nov 2022
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Suzgun
Nathan Scales
Nathanael Scharli
Sebastian Gehrmann
Yi Tay
...
Aakanksha Chowdhery
Quoc V. Le
Ed H. Chi
Denny Zhou
Jason W. Wei
ALM
ELM
LRM
ReLM
140
1,068
0
17 Oct 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng
Jianyu Wang
Cheng-Ping Hsieh
Yihan Wang
Han Guo
Tianmin Shu
Meng Song
Eric Xing
Zhiting Hu
58
330
0
25 May 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
398
4,077
0
24 May 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAG
LRM
101
1,438
0
25 Feb 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
525
9,009
0
28 Jan 2022
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLM
OffRL
LRM
174
4,175
0
27 Oct 2021
Program Synthesis with Large Language Models
Program Synthesis with Large Language Models
Jacob Austin
Augustus Odena
Maxwell Nye
Maarten Bosma
Henryk Michalewski
...
Ellen Jiang
Carrie J. Cai
Michael Terry
Quoc V. Le
Charles Sutton
ELM
AIMat
ReCod
ALM
72
1,846
0
16 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
155
3,906
0
28 Jul 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELM
ALM
132
5,328
0
07 Jul 2021
What Disease does this Patient Have? A Large-scale Open Domain Question
  Answering Dataset from Medical Exams
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Di Jin
Eileen Pan
Nassim Oufattole
W. Weng
Hanyi Fang
Peter Szolovits
FaML
ELM
LM&MA
54
749
0
28 Sep 2020
ETHOS: an Online Hate Speech Detection Dataset
ETHOS: an Online Hate Speech Detection Dataset
Ioannis Mollas
Zoe Chrysopoulou
Stamatis Karlos
Grigorios Tsoumakas
20
114
0
11 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
383
41,106
0
28 May 2020
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
  Challenge
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELM
RALM
LRM
52
2,474
0
14 Mar 2018
Crowdsourcing Multiple Choice Science Questions
Crowdsourcing Multiple Choice Science Questions
Johannes Welbl
Nelson F. Liu
Matt Gardner
AI4Ed
36
486
0
19 Jul 2017
Global optimization of Lipschitz functions
Global optimization of Lipschitz functions
C. Malherbe
Nicolas Vayatis
22
118
0
07 Mar 2017
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