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Self-Refine: Iterative Refinement with Self-Feedback
v1v2 (latest)

Self-Refine: Iterative Refinement with Self-Feedback

Neural Information Processing Systems (NeurIPS), 2023
30 March 2023
Aman Madaan
Niket Tandon
Prakhar Gupta
Skyler Hallinan
Luyu Gao
Sarah Wiegreffe
Uri Alon
Nouha Dziri
Shrimai Prabhumoye
Yiming Yang
Shashank Gupta
Bodhisattwa Prasad Majumder
Katherine Hermann
Sean Welleck
Amir Yazdanbakhsh
Peter Clark
    ReLMLRMDiffM
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)

Papers citing "Self-Refine: Iterative Refinement with Self-Feedback"

50 / 1,676 papers shown
Unlocking Anticipatory Text Generation: A Constrained Approach for Large
  Language Models Decoding
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
Lifu Tu
Semih Yavuz
Jin Qu
Jiacheng Xu
Rui Meng
Caiming Xiong
Yingbo Zhou
240
2
0
11 Dec 2023
Language Models, Agent Models, and World Models: The LAW for Machine
  Reasoning and Planning
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning
Zhiting Hu
Tianmin Shu
LLMAGLM&RoLRM
337
47
0
08 Dec 2023
Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph
  Construction
Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction
Hongbin Ye
Honghao Gui
Aijia Zhang
Tong Liu
Wei Hua
Weiqiang Jia
LLMAG
308
5
0
05 Dec 2023
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian
  Perspective
Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian Perspective
Víctor Gallego
144
5
0
04 Dec 2023
Exchange-of-Thought: Enhancing Large Language Model Capabilities through
  Cross-Model Communication
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model CommunicationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zhangyue Yin
Qiushi Sun
Cheng Chang
Qipeng Guo
Junqi Dai
Xuanjing Huang
Xipeng Qiu
LRM
167
80
0
04 Dec 2023
Data Management For Large Language Models: A Survey
Data Management For Large Language Models: A Survey
Zige Wang
Wanjun Zhong
Yufei Wang
Qi Zhu
Fei Mi
Baojun Wang
Lifeng Shang
Xin Jiang
Qun Liu
LM&MA
224
17
0
04 Dec 2023
Explore, Select, Derive, and Recall: Augmenting LLM with Human-like
  Memory for Mobile Task Automation
Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task AutomationACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2023
Sunjae Lee
Junyoung Choi
Jungjae Lee
Munim Hasan Wasi
Hojun Choi
Steven Y. Ko
Sangeun Oh
Insik Shin
RALM
341
6
0
04 Dec 2023
Axiomatic Preference Modeling for Longform Question Answering
Axiomatic Preference Modeling for Longform Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Corby Rosset
Guoqing Zheng
Victor C. Dibia
Ahmed Hassan Awadallah
Paul Bennett
SyDa
150
7
0
02 Dec 2023
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized
  Model Responses
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses
Xiao Ma
Swaroop Mishra
Ariel Liu
S. Su
Jilin Chen
Chinmay Kulkarni
Heng-Tze Cheng
Quoc V. Le
Ed H. Chi
LM&Ro
222
48
0
01 Dec 2023
SeaLLMs -- Large Language Models for Southeast Asia
SeaLLMs -- Large Language Models for Southeast Asia
Xuan-Phi Nguyen
Wenxuan Zhang
Xin Li
Mahani Aljunied
Zhiqiang Hu
...
Yue Deng
Sen Yang
Chaoqun Liu
Hang Zhang
Li Bing
LRM
293
121
0
01 Dec 2023
Conceptual Engineering Using Large Language Models
Conceptual Engineering Using Large Language Models
Bradley Paul Allen
152
1
0
01 Dec 2023
Self-Infilling Code Generation
Self-Infilling Code GenerationInternational Conference on Machine Learning (ICML), 2023
Lin Zheng
Jianbo Yuan
Zhi Zhang
Hongxia Yang
Lingpeng Kong
257
4
0
29 Nov 2023
Agents meet OKR: An Object and Key Results Driven Agent System with
  Hierarchical Self-Collaboration and Self-Evaluation
Agents meet OKR: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-Evaluation
Yi Zheng
Chongyang Ma
Kanle Shi
Haibin Huang
177
4
0
28 Nov 2023
Data-Efficient Alignment of Large Language Models with Human Feedback
  Through Natural Language
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
Di Jin
Shikib Mehri
Devamanyu Hazarika
Aishwarya Padmakumar
Sungjin Lee
Yang Liu
Mahdi Namazifar
ALM
181
24
0
24 Nov 2023
Towards Responsible Generative AI: A Reference Architecture for
  Designing Foundation Model based Agents
Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents
Qinghua Lu
Liming Zhu
Xiwei Xu
Zhenchang Xing
Stefan Harrer
Jon Whittle
LM&RoAI4CELLMAG
377
21
0
22 Nov 2023
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
De-fine: Decomposing and Refining Visual Programs with Auto-FeedbackACM Multimedia (ACM MM), 2023
Minghe Gao
Juncheng Li
Hao Fei
Liang Pang
Wei Ji
Guoming Wang
Wenqiao Zhang
Siliang Tang
Yueting Zhuang
171
12
0
21 Nov 2023
System 2 Attention (is something you might need too)
System 2 Attention (is something you might need too)
Jason Weston
Sainbayar Sukhbaatar
RALMOffRLLRM
194
80
0
20 Nov 2023
Refactoring Programs Using Large Language Models with Few-Shot Examples
Refactoring Programs Using Large Language Models with Few-Shot Examples
Atsushi Shirafuji
Yusuke Oda
Jun Suzuki
Makoto Morishita
Yutaka Watanobe
222
66
0
20 Nov 2023
INTERVENOR: Prompting the Coding Ability of Large Language Models with
  the Interactive Chain of Repair
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
Hanbin Wang
Zhenghao Liu
Shuo Wang
Ganqu Cui
Ning Ding
Zhiyuan Liu
Ge Yu
KELMLRM
416
20
0
16 Nov 2023
On Evaluating the Integration of Reasoning and Action in LLM Agents with
  Database Question Answering
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering
Linyong Nan
Ellen Zhang
Weijin Zou
Yilun Zhao
Wenfei Zhou
Arman Cohan
LLMAG
294
16
0
16 Nov 2023
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
271
3
0
16 Nov 2023
Structured Chemistry Reasoning with Large Language Models
Structured Chemistry Reasoning with Large Language Models
Siru Ouyang
Zhuosheng Zhang
Bing Yan
Xuan Liu
Yejin Choi
Jiawei Han
Lianhui Qin
LRM
165
27
0
16 Nov 2023
Bergeron: Combating Adversarial Attacks through a Conscience-Based
  Alignment Framework
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework
Matthew Pisano
Peter Ly
Abraham Sanders
Bingsheng Yao
Dakuo Wang
T. Strzalkowski
Mei Si
AAML
197
32
0
16 Nov 2023
Digital Socrates: Evaluating LLMs through Explanation Critiques
Digital Socrates: Evaluating LLMs through Explanation Critiques
Yuling Gu
Oyvind Tafjord
Peter Clark
ELMLRM
305
6
0
16 Nov 2023
What if you said that differently?: How Explanation Formats Affect Human
  Feedback Efficacy and User Perception
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception
Chaitanya Malaviya
Subin Lee
Dan Roth
Mark Yatskar
279
2
0
16 Nov 2023
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive
  Thinking from Large Language Models
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Weize Liu
Guocong Li
Kai Zhang
Bang Du
Qiyuan Chen
Xuming Hu
Hongxia Xu
Jintai Chen
Jian Wu
LRM
146
13
0
15 Nov 2023
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts
Yuanwei Wu
Xiang Li
Yixin Liu
Pan Zhou
Lichao Sun
313
76
0
15 Nov 2023
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Shumin Deng
Ningyu Zhang
Nay Oo
Bryan Hooi
LRM
298
3
0
15 Nov 2023
StrategyLLM: Large Language Models as Strategy Generators, Executors,
  Optimizers, and Evaluators for Problem Solving
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem SolvingNeural Information Processing Systems (NeurIPS), 2023
Chang Gao
Haiyun Jiang
Deng Cai
Shuming Shi
Wai Lam
LRM
311
12
0
15 Nov 2023
Are You Sure? Challenging LLMs Leads to Performance Drops in The
  FlipFlop Experiment
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment
Philippe Laban
Lidiya Murakhovs'ka
Caiming Xiong
Chien-Sheng Wu
LRM
248
45
0
14 Nov 2023
LLMs cannot find reasoning errors, but can correct them given the error
  location
LLMs cannot find reasoning errors, but can correct them given the error locationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Gladys Tyen
Hassan Mansoor
Victor Carbune
Peter Chen
Tony Mak
LRM
500
86
0
14 Nov 2023
Predicting Text Preference Via Structured Comparative Reasoning
Predicting Text Preference Via Structured Comparative ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jing Nathan Yan
Tianqi Liu
Celine Lee
Jiaming Shen
Zhen Qin
...
Charumathi Lakshmanan
Y. Kurzion
Alexander M. Rush
Jialu Liu
Michael Bendersky
LRM
214
9
0
14 Nov 2023
Towards Reasoning in Large Language Models via Multi-Agent Peer Review
  Collaboration
Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration
Zhenran Xu
Senbao Shi
Baotian Hu
Jindi Yu
Dongfang Li
Min Zhang
Yuxiang Wu
LRMLLMAGALM
269
47
0
14 Nov 2023
SAIE Framework: Support Alone Isn't Enough -- Advancing LLM Training
  with Adversarial Remarks
SAIE Framework: Support Alone Isn't Enough -- Advancing LLM Training with Adversarial RemarksEuropean Conference on Artificial Intelligence (ECAI), 2023
Mengsay Loem
Masahiro Kaneko
Naoaki Okazaki
LRM
268
7
0
14 Nov 2023
The ART of LLM Refinement: Ask, Refine, and Trust
The ART of LLM Refinement: Ask, Refine, and TrustNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Kumar Shridhar
Koustuv Sinha
Andrew Cohen
Tianlu Wang
Ping Yu
Ramakanth Pasunuru
Mrinmaya Sachan
Jason Weston
Asli Celikyilmaz
LLMAGReLMLRM
226
31
0
14 Nov 2023
A Closer Look at the Self-Verification Abilities of Large Language
  Models in Logical Reasoning
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical ReasoningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Ruixin Hong
Hongming Zhang
Xinyu Pang
Dong Yu
Changshui Zhang
LRM
226
43
0
14 Nov 2023
First-Step Advantage: Importance of Starting Right in Multi-Step Math
  Reasoning
First-Step Advantage: Importance of Starting Right in Multi-Step Math ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Kushal Kumar Jain
Moritz Miller
Niket Tandon
Kumar Shridhar
ReLMLRM
323
4
0
14 Nov 2023
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone
  GUI Navigation
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation
An Yan
Zhengyuan Yang
Wanrong Zhu
Kevin Qinghong Lin
Linjie Li
...
Yiwu Zhong
Julian McAuley
Jianfeng Gao
Zicheng Liu
Lijuan Wang
LLMAGLM&Ro
389
143
0
13 Nov 2023
A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question
  Decomposition with Large Language Models
A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models
He Cao
Zhenwei An
Jiazhan Feng
Kun Xu
Liwei Chen
Dongyan Zhao
HILM
124
4
0
13 Nov 2023
Understanding Users' Dissatisfaction with ChatGPT Responses: Types,
  Resolving Tactics, and the Effect of Knowledge Level
Understanding Users' Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge LevelInternational Conference on Intelligent User Interfaces (IUI), 2023
Yoonsu Kim
Jueon Lee
Seoyoung Kim
Jaehyuk Park
Juho Kim
286
64
0
13 Nov 2023
Past as a Guide: Leveraging Retrospective Learning for Python Code
  Completion
Past as a Guide: Leveraging Retrospective Learning for Python Code Completion
Seunggyoon Shin
Seunggyu Chang
Sungjoon Choi
KELM
185
1
0
13 Nov 2023
Volcano: Mitigating Multimodal Hallucination through Self-Feedback
  Guided Revision
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided RevisionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Seongyun Lee
Sue Hyun Park
Yongrae Jo
Minjoon Seo
289
89
0
13 Nov 2023
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
Seungjun Moon
Hyungjoo Chae
Yongho Song
Taeyoon Kwon
Dongjin Kang
Kai Tzu-iunn Ong
Seung-won Hwang
Jinyoung Yeo
KELM
207
16
0
13 Nov 2023
Can LLMs Patch Security Issues?
Can LLMs Patch Security Issues?
Kamel Alrashedy
Abdullah Aljasser
Pradyumna Tambwekar
Matthew Gombolay
AAML
508
14
0
13 Nov 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context
  Learning
Explanation-aware Soft Ensemble Empowers Large Language Model In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yue Yu
Jiaming Shen
Tianqi Liu
Zhen Qin
Jing Nathan Yan
Jialu Liu
Chao Zhang
Michael Bendersky
247
9
0
13 Nov 2023
On the Discussion of Large Language Models: Symmetry of Agents and
  Interplay with Prompts
On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts
Qineng Wang
Zihao Wang
Ying Su
Yangqiu Song
AI4CELLMAG
302
2
0
13 Nov 2023
ExpNote: Black-box Large Language Models are Better Task Solvers with
  Experience Notebook
ExpNote: Black-box Large Language Models are Better Task Solvers with Experience NotebookConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Wangtao Sun
Xuanqing Yu
Shizhu He
Jun Zhao
Kang Liu
LRM
175
3
0
13 Nov 2023
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with
  Small Language Models
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Junbing Yan
Chengyu Wang
Taolin Zhang
Xiaofeng He
Jun Huang
Wei Zhang
ReLMLRM
227
9
0
12 Nov 2023
Online Advertisements with LLMs: Opportunities and Challenges
Online Advertisements with LLMs: Opportunities and Challenges
Soheil Feizi
Mohammadtaghi Hajiaghayi
Keivan Rezaei
Suho Shin
OffRL
409
22
0
11 Nov 2023
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRMHILM
448
1,960
0
09 Nov 2023
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