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AutoHint: Automatic Prompt Optimization with Hint Generation

AutoHint: Automatic Prompt Optimization with Hint Generation

13 July 2023
Hong Sun
Xue Li
Yi Xu
Youkow Homma
Qinhao Cao
Min-man Wu
Jian Jiao
Denis Xavier Charles
ArXivPDFHTML

Papers citing "AutoHint: Automatic Prompt Optimization with Hint Generation"

22 / 22 papers shown
Title
A Hierarchical Framework for Measuring Scientific Paper Innovation via Large Language Models
A Hierarchical Framework for Measuring Scientific Paper Innovation via Large Language Models
Hongming Tan
Shaoxiong Zhan
Fengwei Jia
Hai-Tao Zheng
Wai Kin Victor Chan
16
0
0
20 Apr 2025
Automatic Prompt Optimization via Heuristic Search: A Survey
Automatic Prompt Optimization via Heuristic Search: A Survey
Wendi Cui
Jiaxin Zhang
Z. Li
Hao Sun
Damien Lopez
Kamalika Das
Bradley Malin
Sricharan Kumar
32
1
0
26 Feb 2025
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
Zeyu He
Saniya Naphade
Ting-Hao 'Kenneth' Huang
33
0
0
16 Feb 2025
Instance-adaptive Zero-shot Chain-of-Thought Prompting
Instance-adaptive Zero-shot Chain-of-Thought Prompting
Xiaosong Yuan
Chen Shen
Shaotian Yan
Xiaofeng Zhang
Liang Xie
Wenxiao Wang
Renchu Guan
Ying Wang
Jieping Ye
ReLM
LRM
38
4
0
30 Sep 2024
Learning from Contrastive Prompts: Automated Optimization and Adaptation
Learning from Contrastive Prompts: Automated Optimization and Adaptation
Mingqi Li
Karan Aggarwal
Yong Xie
Aitzaz Ahmad
Stephen Lau
28
2
0
23 Sep 2024
Minstrel: Structural Prompt Generation with Multi-Agents Coordination
  for Non-AI Experts
Minstrel: Structural Prompt Generation with Multi-Agents Coordination for Non-AI Experts
Ming Wang
Yuanzhong Liu
Xiaoyu Liang
Yijie Huang
Daling Wang
...
Sijia Shen
Shi Feng
Xiaoming Zhang
Chaofeng Guan
Yifei Zhang
17
1
0
20 Sep 2024
Prompt Obfuscation for Large Language Models
Prompt Obfuscation for Large Language Models
David Pape
Thorsten Eisenhofer
Thorsten Eisenhofer
Lea Schönherr
AAML
31
2
0
17 Sep 2024
Optimising Hard Prompts with Few-Shot Meta-Prompting
Optimising Hard Prompts with Few-Shot Meta-Prompting
Sayash Raaj Hiraou
16
2
0
09 Jul 2024
Autonomous Prompt Engineering in Large Language Models
Autonomous Prompt Engineering in Large Language Models
Daan Kepel
Konstantina Valogianni
LLMAG
27
4
0
25 Jun 2024
Efficient Prompting Methods for Large Language Models: A Survey
Efficient Prompting Methods for Large Language Models: A Survey
Kaiyan Chang
Songcheng Xu
Chenglong Wang
Yingfeng Luo
Tong Xiao
Jingbo Zhu
LRM
30
1
0
01 Apr 2024
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
Jamshid Mozafari
Anubhav Jangra
Adam Jatowt
17
3
1
27 Mar 2024
LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs
  from the Programming Language
LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
Ming Wang
Yuanzhong Liu
Xiaoyu Liang
Songlian Li
Yijie Huang
...
Shi Feng
Chi Zhang
Yifei Zhang
Minghui Zheng
Jigang Li
27
12
0
26 Feb 2024
Are Large Language Models Good Prompt Optimizers?
Are Large Language Models Good Prompt Optimizers?
Ruotian Ma
Xiaolei Wang
Xin Zhou
Jian Li
Nan Du
Tao Gui
Qi Zhang
Xuanjing Huang
LLMAG
LRM
25
27
0
03 Feb 2024
Customizing Language Model Responses with Contrastive In-Context
  Learning
Customizing Language Model Responses with Contrastive In-Context Learning
Xiang Gao
Kamalika Das
13
6
0
30 Jan 2024
Do Physicians Know How to Prompt? The Need for Automatic Prompt
  Optimization Help in Clinical Note Generation
Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
Zonghai Yao
Ahmed Jaafar
Beining Wang
Zhichao Yang
Hong-ye Yu
LM&MA
27
2
0
16 Nov 2023
PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
Gelei Deng
Yi Liu
Víctor Mayoral-Vilches
Peng Liu
Yuekang Li
Yuan Xu
Tianwei Zhang
Yang Liu
M. Pinzger
Stefan Rass
LLMAG
20
78
0
13 Aug 2023
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
Instruction Induction: From Few Examples to Natural Language Task
  Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
ELM
LRM
107
133
0
22 May 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
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
315
8,261
0
28 Jan 2022
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
882
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
1