Self-Correction LLMs Papers

This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.

Our survey paper: Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang

Content

1. Training-Time Correction
1.1 RLHF Strategy	1.2 Fine-tuning Strategy
1.3 Self-Training Strategy
2. Generation-Time Correction
2.1 Re-Ranking Strategy	2.2 Feedback-guided Strategy
3. Post-hoc Correction
3.1 Self-Refine Strategy	3.2 External Feedback Strategy
3.3 Model-Debate Strategy

Training-Time Correction

RLHF Strategy

Training Language Models to Follow Instructions with Human Feedback. Advances in Neural Information Processing Systems (NeurIPS), 2022. paper

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. arxiv, 2023. paper

Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback. arxiv, 2022. paper

Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, Nicholas Joseph, Saurav Kadavath, Jackson Kernion, Tom Conerly, Sheer El-Showk, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Tristan Hume, Scott Johnston, Shauna Kravec, Liane Lovitt, Neel Nanda, Catherine Olsson, Dario Amodei, Tom Brown, Jack Clark, Sam McCandlish, Chris Olah, Ben Mann, Jared Kaplan
Improving Alignment of Dialogue Agents via Targeted Human Judgments. arxiv, 2022. paper

Amelia Glaese, Nat McAleese, Maja Trębacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin Chadwick, Phoebe Thacker, Lucy Campbell-Gillingham, Jonathan Uesato, Po-Sen Huang, Ramona Comanescu, Fan Yang, Abigail See, Sumanth Dathathri, Rory Greig, Charlie Chen, Doug Fritz, Jaume Sanchez Elias, Richard Green, Soňa Mokrá, Nicholas Fernando, Boxi Wu, Rachel Foley, Susannah Young, Iason Gabriel, William Isaac, John Mellor, Demis Hassabis, Koray Kavukcuoglu, Lisa Anne Hendricks, Geoffrey Irving

Fine-tuning Strategy

Training Language Models with Language Feedback at Scale. arxiv, 2023. paper

Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez
Continually Improving Extractive QA via Human Feedback. arxiv, 2023. paper

Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi
Chain of Hindsight Aligns Language Models with Feedback. arxiv, 2023. paper

Hao Liu, Carmelo Sferrazza, Pieter Abbeel
QUARK: Controllable Text Generation with Reinforced Unlearning. Advances in Neural Information Processing Systems (NeurIPS), 2022. paper

Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. Annual Meeting of the Association for Computational Linguistics (ACL), 2021. paper

Yixin Liu, Pengfei Liu
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore. Annual Meeting of the Association for Computational Linguistics (ACL), 2021. paper

Inigo Jauregi Unanue, Jacob Parnell, Massimo Piccardi

Self-Training Strategy

STaR: Bootstrapping Reasoning With Reasoning. Advances in Neural Information Processing Systems (NeurIPS), 2022. paper

Eric Zelikman, Yuhuai Wu, Jesse Mu, Noah Goodman
SELF-INSTRUCT: Aligning Language Models with Self-Generated Instructions. Annual Meeting of the Association for Computational Linguistics (ACL), 2023. paper

Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi
Constitutional AI: Harmlessness from AI Feedback. arxiv, 2022. paper

Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosuite, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemi Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Jared Kaplan
Language Model Self-improvement by Reinforcement Learning Contemplation. arxiv, 2023. paper

Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Large Language Models Can Self-Improve. arxiv, 2022. paper

Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. arxiv, 2023. paper

Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

Generation-Time Correction

Re-Ranking Strategy

Large Language Models are Better Reasoners with Self-Verification. arXiv, 2023. paper

Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
CodeT: Code Generation with Generated Tests. International Conference on Learning Representations (ICLR), 2023. paper

Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
LEVER: Learning to Verify Language-to-Code Generation with Execution. International Conference on Machine Learning (ICML), 2023. paper

Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
Rethinking with Retrieval: Faithful Large Language Model Inference. arxiv, 2022. paper

Hangfeng He, Hongming Zhang, Dan Roth
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. arxiv, 2023. paper

Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metric. Transactions of the Association for Computational Linguistics (TACL), 2022. paper

Markus Freitag, David Grangier, Qijun Tan, Bowen Liang
Making Language Models Better Reasoners with Step-Aware Verifier. Annual Meeting of the Association for Computational Linguistics (ACL), 2023. paper

Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen

Feedback-guided Strategy

Let's Verify Step by Step. arxiv, 2023. paper

Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe
Diffusion-LM Improves Controllable Text Generation. Advances in Neural Information Processing Systems (NeurIPS), 2022. paper

Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto
FUDGE: Controlled Text Generation With Future Discriminators. North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2021. paper

Kevin Yang, Dan Klein
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. paper

Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
Generating Natural Language Proofs with Verifier-Guided Search. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. paper

Kaiyu Yang, Jia Deng, Danqi Chen
Discriminator-Guided Multi-step Reasoning with Language Models. arxiv, 2023. paper

Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Solving Math Word Problems via Cooperative Reasoning Induced Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), 2023. paper

Xinyu Zhu, Junjie Wang, Lin Zhang, Yuxiang Zhang, Yongfeng Huang, Ruyi Gan, Jiaxing Zhang, Yujiu Yang
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. paper

Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
Faithful Reasoning Using Large Language Models. arxiv, 2022. paper

Antonia Creswell, Murray Shanahan
Reasoning with Language Model is Planning with World Model. arxiv, 2023. paper

Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. arxiv, 2023. paper

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. arxiv, 2023. paper

Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan

Post-hoc Correction

Self-Refine Strategy

Self-Refine: Iterative Refinement with Self-Feedback. arxiv, 2023. paper

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
Self-Verification Improves Few-Shot Clinical Information Extraction. arxiv,2023. paper

Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
Reflexion: Language Agents with Verbal Reinforcement Learning. arxiv, 2023. paper

Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao
Iterative Translation Refinement with Large Language Models. arxiv, 2023. paper

Pinzhen Chen, Zhicheng Guo, Barry Haddow, Kenneth Heafield
Leveraging GPT-4 for Automatic Translation Post-Editing. arxiv, 2023. paper

Vikas Raunak, Amr Sharaf, Hany Hassan Awadallah, Arul Menezes
Language Models can Solve Computer Tasks. arxiv, 2023. paper

Geunwoo Kim, Pierre Baldi, Stephen McAleer
SelFee: Iterative Self-Revising LLM Empowered by Self-Feedback Generation. Blog Post, 2023. website

Seonghyeon Ye, Yongrae Jo, Doyoung Kim, Sungdong Kim, Hyeonbin Hwang, Minjoon Seo
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models. arxiv, 2023. paper

Potsawee Manakul, Adian Liusie, Mark J. F. Gales

External Feedback Strategy

Re3: Generating Longer Stories With Recursive Reprompting and Revision. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. paper

Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. Advances in Neural Information Processing Systems (NeurIPS), 2022. paper

Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C.H. Hoi
REFINER: Reasoning Feedback on Intermediate Representations. arxiv, 2023. paper

Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. Annual Meeting of the Association for Computational Linguistics (ACL), 2023. paper

Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya, Niket Tandon
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. Annual Meeting of the Association for Computational Linguistics (ACL), 2023. paper

Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
Baldur: Whole-Proof Generation and Repair with Large Language Models. arxiv, 2023. paper

Emily First, Markus N. Rabe, Talia Ringer, Yuriy Brun
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. arxiv, 2023. paper

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen
FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. arxiv, 2023. paper

I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
RARR: Researching and Revising What Language Models Say, Using Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), 2023. paper

Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. arxiv, 2023. paper

Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. arxiv, 2023. paper

Miaoran Li, Baolin Peng, Zhu Zhang
Improving Language Models via Plug-and-Play Retrieval Feedback. arxiv, 2023. paper

Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal
Demystifying GPT Self-Repair for Code Generation. arxiv, 2023. paper

Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
Self-Edit: Fault-Aware Code Editor for Code Generation. arxiv, 2023. paper

Kechi Zhang, Zhuo Li, Jia Li, Ge Li, Zhi Jin
Teaching Large Language Models to Self-Debug. arxiv, 2023. paper

Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou
SelfEvolve: A Code Evolution Framework via Large Language Models. arxiv, 2023. paper

Shuyang Jiang, Yuhao Wang, Yu Wang
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. arxiv, 2023. paper

Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang
Self-Critiquing Models for Assisting Human Evaluators. arxiv, 2022. paper

William Saunders, Catherine Yeh, Jeff Wu, Steven Bills, Long Ouyang, Jonathan Ward, Jan Leike
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. arxiv, 2023. paper

Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification. arxiv, 2023. paper

Yiannis Charalambous, Norbert Tihanyi, Ridhi Jain, Youcheng Sun, Mohamed Amine Ferrag, Lucas C. Cordeiro
Generating Sequences by Learning to Self-Correct. International Conference on Learning Representations (ICLR), 2023. paper

Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. paper

Deepak Nathani, David Wang, Liangming Pan, William Yang Wang

Model-Debate Strategy

Improving Factuality and Reasoning in Language Models through Multiagent Debate. arxiv, 2023. paper

Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch
LM vs LM: Detecting Factual Errors via Cross Examination. arxiv, 2023. paper

Roi Cohen, May Hamri, Mor Geva, Amir Globerson
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback. arxiv, 2023. paper

Yao Fu, Hao Peng, Tushar Khot, Mirella Lapata
PRD: Peer Rank and Discussion Improve Large Language Model-based Evaluations. arxiv, 2023. paper

Ruosen Li, Teerth Patel, Xinya Du

Contribution

Contributors

_{Liangming Pan}

_{Xinyuan Lu}

Acknowledgement

There are cases where we miss important works in this field, please contribute to this repo! Thanks for your efforts in advance.
If you encounter any problem, please either directly contact Liangming Pan or leave an issue in the GitHub repo.

teacherpeterpan/self-correction-llm-papers

Self-Correction LLMs Papers

Contribution

Contributors

Acknowledgement