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Self-Refine: Iterative Refinement with Self-Feedback

Self-Refine: Iterative Refinement with Self-Feedback

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
    ReLM
    LRM
    DiffM
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Papers citing "Self-Refine: Iterative Refinement with Self-Feedback"

50 / 328 papers shown
Title
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
Yong Liu
Zonglin Yang
Tong Xie
Jinjie Ni
Ben Gao
Yuan Li
Shixiang Tang
Wanli Ouyang
Min Zhang
Dongzhan Zhou
39
3
0
27 Mar 2025
RAIDER: Tool-Equipped Large Language Model Agent for Robotic Action Issue Detection, Explanation and Recovery
RAIDER: Tool-Equipped Large Language Model Agent for Robotic Action Issue Detection, Explanation and Recovery
Silvia Izquierdo-Badiola
Carlos Rizzo
Guillem Alenyà
LLMAG
LM&Ro
89
0
0
22 Mar 2025
The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement
The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement
Ruihan Yang
Fanghua Ye
Jian Li
Siyu Yuan
Yikai Zhang
Zhaopeng Tu
Xiaolong Li
Deqing Yang
LLMAG
78
4
0
20 Mar 2025
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Ashraf Ghiye
Baptiste Barreau
Laurent Carlier
Michalis Vazirgiannis
81
0
0
18 Mar 2025
PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
Wei Fang
Yang Zhang
Kaizhi Qian
James R. Glass
Yada Zhu
LLMAG
73
0
0
18 Mar 2025
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
Nikhil Abhyankar
Parshin Shojaee
Chandan K. Reddy
70
0
0
18 Mar 2025
MAP: Multi-user Personalization with Collaborative LLM-powered Agents
MAP: Multi-user Personalization with Collaborative LLM-powered Agents
Christine P. Lee
Jihye Choi
Bilge Mutlu
LLMAG
75
0
1
17 Mar 2025
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Yansen Wang
Shengqiong Wu
Yuyao Zhang
William Yang Wang
Ziwei Liu
Jiebo Luo
Hao Fei
LRM
95
11
0
16 Mar 2025
"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding
"Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection Decoding
Hyunbin Jin
Je Won Yeom
Seunghyun Bae
Taesup Kim
LRM
ReLM
45
1
0
13 Mar 2025
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
Bo Liu
Yunxiang Li
Yangqiu Song
Hanjing Wang
Linyi Yang
Mark Schmidt
Jun Wang
Weinan Zhang
Shuyue Hu
Ying Wen
LLMAG
KELM
LRM
AI4CE
94
6
0
12 Mar 2025
EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments
EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments
Dongping Li
Tielong Cai
Tianci Tang
Wenhao Chai
Katherine Rose Driggs-Campbell
Gaoang Wang
LM&Ro
71
0
0
11 Mar 2025
Combinatorial Optimization via LLM-driven Iterated Fine-tuning
Pranjal Awasthi
Sreenivas Gollapudi
Ravi Kumar
Kamesh Munagala
70
0
0
10 Mar 2025
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
Xiangru Tang
Daniel Shao
Jiwoong Sohn
Jiapeng Chen
Jiayi Zhang
...
Yilun Zhao
Chenglin Wu
Wenqi Shi
Arman Cohan
Mark B. Gerstein
AI4MH
LRM
ELM
LM&MA
75
4
0
10 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
Tadahiro Taniguchi
Yasushi Hirai
Masahiro Suzuki
Shingo Murata
Takato Horii
Kazutoshi Tanaka
AI4CE
71
0
0
08 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers
Exploiting Edited Large Language Models as General Scientific Optimizers
Qitan Lv
T. Liu
Haoyu Wang
46
0
0
08 Mar 2025
Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models
Panatchakorn Anantaprayoon
Masahiro Kaneko
Naoaki Okazaki
LRM
KELM
57
0
0
08 Mar 2025
ReasonGraph: Visualisation of Reasoning Paths
Zongqian Li
Ehsan Shareghi
Nigel Collier
LRM
52
0
0
06 Mar 2025
LLMs Can Generate a Better Answer by Aggregating Their Own Responses
LLMs Can Generate a Better Answer by Aggregating Their Own Responses
Zichong Li
Xinyu Feng
Yuheng Cai
Zixuan Zhang
Tianyi Liu
Chen Liang
Weizhu Chen
Haoyu Wang
Tiejun Zhao
LRM
57
1
0
06 Mar 2025
Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
Fengqin Zhou
70
0
0
06 Mar 2025
Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent
Xingzuo Li
Kehai Chen
Yunfei Long
X. Bai
Yong-mei Xu
Min Zhang
LRM
LLMAG
89
1
0
04 Mar 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li
Yu Huang
Chang Xu
Viktor Schlegel
Ren-He Jiang
Riza Batista-Navarro
Goran Nenadic
Jiang Bian
DiffM
AI4CE
212
2
0
04 Mar 2025
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing
Juntai Cao
Xiang Zhang
Raymond Li
Chuyuan Li
Shafiq Joty
Shafiq Joty
Giuseppe Carenini
64
1
0
27 Feb 2025
Voting or Consensus? Decision-Making in Multi-Agent Debate
Voting or Consensus? Decision-Making in Multi-Agent Debate
Lars Benedikt Kaesberg
Jonas Becker
Jan Philip Wahle
Terry Ruas
Bela Gipp
74
2
0
26 Feb 2025
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Hongzhan Lin
Yang Deng
Yuxuan Gu
Wenxuan Zhang
Jing Ma
See-Kiong Ng
Tat-Seng Chua
LLMAG
KELM
HILM
73
0
0
25 Feb 2025
Construction and Evaluation of LLM-based agents for Semi-Autonomous penetration testing
Masaya Kobayashi
Masane Fuchi
Amar Zanashir
Tomonori Yoneda
Tomohiro Takagi
LLMAG
55
2
0
24 Feb 2025
Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinement
Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinement
Suchae Jeong
Inseong Choi
Youngsik Yun
Jihie Kim
DiffM
44
2
0
24 Feb 2025
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming
Rui Li
Peiyi Wang
Jingyuan Ma
Di Zhang
Lei Sha
Zhifang Sui
LLMAG
50
0
0
22 Feb 2025
A Cognitive Writing Perspective for Constrained Long-Form Text Generation
A Cognitive Writing Perspective for Constrained Long-Form Text Generation
Kaiyang Wan
Honglin Mu
Rui Hao
Haoran Luo
Tianle Gu
Xiuying Chen
ALM
70
0
0
20 Feb 2025
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
Ruizhong Qiu
Weiliang Will Zeng
Hanghang Tong
James Ezick
Christopher Lott
92
16
0
20 Feb 2025
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
Flaming-hot Initiation with Regular Execution Sampling for Large Language Models
Weizhe Chen
Zhicheng Zhang
Guanlin Liu
Renjie Zheng
Wenlei Shi
Chen Dun
Zheng Wu
Xing Jin
Lin Yan
ALM
LRM
59
1
0
17 Feb 2025
ReviewEval: An Evaluation Framework for AI-Generated Reviews
ReviewEval: An Evaluation Framework for AI-Generated Reviews
Chavvi Kirtani
Madhav Krishan Garg
Tejash Prasad
Tanmay Singhal
Murari Mandal
Dhruv Kumar
70
1
0
17 Feb 2025
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Zhiyuan Zeng
Qinyuan Cheng
Zhangyue Yin
Yunhua Zhou
Xipeng Qiu
LRM
85
13
0
17 Feb 2025
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
Jongho Kim
Seung-won Hwang
LRM
AI4CE
60
1
0
17 Feb 2025
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
Weizhe Chen
Sven Koenig
B. Dilkina
LLMAG
112
8
0
17 Feb 2025
Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning
Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning
Peiying Yu
Guoxin Chen
Jingjing Wang
LLMAG
LMTD
LRM
70
3
0
17 Feb 2025
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
Roman Levin
Valeriia Cherepanova
Abhimanyu Hans
Avi Schwarzschild
Tom Goldstein
239
1
0
14 Feb 2025
RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation
RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation
C. Zhou
Xinyu Zhang
Dandan Song
Xiancai Chen
Wanli Gu
Huipeng Ma
Yuhang Tian
Hao Fei
Linmei Hu
63
1
0
13 Feb 2025
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
Lisa Alazraki
Maximilian Mozes
Jon Ander Campos
Yi Chern Tan
Marek Rei
Max Bartolo
ReLM
LRM
103
0
0
12 Feb 2025
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang
Kaijie Chen
Guancheng Wan
Heng Chang
Hong Cheng
Kaidi Wang
Shuyue Hu
Lei Bai
99
2
0
11 Feb 2025
Bag of Tricks for Inference-time Computation of LLM Reasoning
Bag of Tricks for Inference-time Computation of LLM Reasoning
Fan Liu
Wenshuo Chao
Naiqiang Tan
Hao Liu
OffRL
LRM
79
3
0
11 Feb 2025
InSTA: Towards Internet-Scale Training For Agents
InSTA: Towards Internet-Scale Training For Agents
Brandon Trabucco
Gunnar A. Sigurdsson
Robinson Piramuthu
Ruslan Salakhutdinov
ALM
111
2
0
10 Feb 2025
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization
Yongcheng Zeng
Xinyu Cui
Xuanfa Jin
Guoqing Liu
Zexu Sun
Quan He
Dong Li
Ning Yang
Haifeng Zhang
Jun Wang
LLMAG
LRM
100
1
0
08 Feb 2025
Iterative Deepening Sampling for Large Language Models
Iterative Deepening Sampling for Large Language Models
Weizhe Chen
Sven Koenig
B. Dilkina
LRM
ReLM
88
1
0
08 Feb 2025
Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment
Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment
Haoyu Wang
Zeyu Qin
Li Shen
Xueqian Wang
Minhao Cheng
Dacheng Tao
99
2
0
06 Feb 2025
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
Songlin Xu
Hao-Ning Wen
Hongyi Pan
Dallas Dominguez
Dongyin Hu
Xinyu Zhang
75
1
0
04 Feb 2025
Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement
Are Language Models Up to Sequential Optimization Problems? From Evaluation to a Hegelian-Inspired Enhancement
Soheil Abbasloo
LRM
46
0
0
04 Feb 2025
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Maohao Shen
Guangtao Zeng
Zhenting Qi
Zhang-Wei Hong
Zhenfang Chen
Wei Lu
G. Wornell
Subhro Das
David D. Cox
Chuang Gan
LLMAG
LRM
255
8
0
04 Feb 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee
Ziyang Cai
Avi Schwarzschild
Kangwook Lee
Dimitris Papailiopoulos
ReLM
VLM
LRM
AI4CE
85
4
0
03 Feb 2025
Learning to Generate Unit Tests for Automated Debugging
Learning to Generate Unit Tests for Automated Debugging
Archiki Prasad
Elias Stengel-Eskin
Justin Chih-Yao Chen
Zaid Khan
Joey Tianyi Zhou
ELM
88
1
0
03 Feb 2025
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Wenzhe Li
Yong Lin
Mengzhou Xia
Chi Jin
MoE
105
2
0
02 Feb 2025
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