Fetching the paper…
Reading the bibliography…
Research shows that errors in natural language can be corrected by translating texts to another language and back using language models.
Language Models Are Few-Shot Learners. In Advances in Neural Information Processing Systems (NeurIPS) , Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
Earlier work this paper cites.
Experimentation in Software Engineering: An Introduction
C. Wohlin, P. Runeson, M. Host, M. C. Ohlsson, B. Regnell, and A. Wesslen. 2000 · 2000
Earlier work this paper cites.
Scaling Laws for Neural Language Models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2001
Earlier work this paper cites.
Bleu: A Method for Automatic Evaluation of Machine Translation. In 40th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
A Survey of Deep Learning Techniques for Neural Machine Translation
Shuoheng Yang, Yuxin Wang, and Xiaowen Chu. 2020 · 2002
Earlier work this paper cites.
Simplify-Then-Translate: Automatic Preprocessing for Black-Box Machine Translation
Sneha Mehta, Bahareh Azarnoush, Boris Chen, Avneesh Saluja, Vinith Misra, Ballav Bihani, and Ritwik Kumar. 2020 · 2005
Earlier work this paper cites.
Exploring Software Naturalness through Neural Language Models
Luca Buratti, Saurabh Pujar, Mihaela Bornea, Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, and Giacomo Domeniconi. 2020 · 2006
Earlier work this paper cites.
Unsupervised Translation of Programming Languages. In Proceedings of the 34th International Conference on Neural Information Processing Systems , Vol. 33. 20601–20611
Baptiste Roziere, Marie-Anne Lachaux, Guillaume Lample, and Lowik Chanussot. 2020 · 2006
Earlier work this paper cites.
Using Automatic Roundtrip Translation to Repair General Errors in Second Language Writing. In Machine Translation Summit XII . 9
Alain Désilets and Matthieu Hermet. 2009 · 2009
Earlier work this paper cites.
GraphCodeBERT: Pre-training Code Representations with Data Flow
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou. 2021 · 2009
Earlier work this paper cites.
CodeBLEU: A Method for Automatic Evaluation of Code Synthesis
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, and Shuai Ma. 2020 · 2009
Earlier work this paper cites.
On the Naturalness of Software. In 34th International Conference on Software Engineering (ICSE) . IEEE, 837–847
Abram Hindle, Earl T. Barr, Zhendong Su, Mark Gabel, and Premkumar Devanbu. 2012 · 2012
Earlier work this paper cites.
Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs. In 23th International Symposium on Software Testing and Analysis (ISSTA) (ISSTA 2014) . ACM, 437–440
René Just, Darioush Jalali, and Michael D. Ernst. 2014 · 2014
Earlier work this paper cites.
The Design Space of Bug Fixes and How Developers Navigate It
Emerson Murphy-Hill, Thomas Zimmermann, Christian Bird, and Nachiappan Nagappan. 2015 · 2014
Earlier work this paper cites.
Sequence to Sequence Learning with Neural Networks. In Advances in Neural Information Processing Systems (NeurIPS) , Vol. 27. Curran Associates, Inc., 1–9
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.
On the "Naturalness" of Buggy Code. In 38th International Conference on Software Engineering (ICSE) . ACM, 428–439
Baishakhi Ray, Vincent Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, and Premkumar Devanbu. 2016 · 2016
Earlier work this paper cites.
Where Is the Bug and How Is It Fixed? An Experiment with Practitioners. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2017) . Association for Computing Machinery, New York, NY, USA, 117–128
Marcel Böhme, Ezekiel O. Soremekun, Sudipta Chattopadhyay, Emamurho Ugherughe, and Andreas Zeller. 2017 · 2017
Earlier work this paper cites.
QuixBugs: A Multi-Lingual Program Repair Benchmark Set Based on the Quixey Challenge. In Companion of the SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity . ACM, Vancouver BC Canada, 55–56
Derrick Lin, James Koppel, Angela Chen, and Armando Solar-Lezama. 2017 · 2017
Earlier work this paper cites.
Attention Is All You Need. In Advances in Neural Information Processing Systems (NeurIPS) , Vol. 30. Curran, 1–11
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
A Survey of Machine Learning for Big Code and Naturalness
Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, and Charles Sutton. 2018 · 2018
Earlier work this paper cites.
Phrase-Based & Neural Unsupervised Machine Translation. In Conference on Empirical Methods in Natural Language Processing: EMNLP 2018 . Association for Computational Linguistics, 5039–5049
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
Earlier work this paper cites.
Automatic Software Repair: A Bibliography
Martin Monperrus. 2018 · 2018
Earlier work this paper cites.
Victor Sobreira, Thomas Durieux, Fernanda Madeiral, Martin Monperrus, and Marcelo de Almeida Maia. 2018 · 2018
Earlier work this paper cites.
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, and Martin Monperrus. 2021a · 2019
Earlier work this paper cites.
Automated Program Repair
Claire Le Goues, Michael Pradel, and Abhik Roychoudhury. 2019 · 2019
Earlier work this paper cites.
Language Models Are Unsupervised Multitask Learners
Alec Radford, Jeff Wu, Rewon Child, D. Luan, Dario Amodei, and I. Sutskever. 2019 · 2019
Earlier work this paper cites.
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk. 2019 · 2019
Cited alongside, same era.
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 7871–7880
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
CoCoNuT: Combining Context-Aware Neural Translation Models Using Ensemble for Program Repair. In SIGSOFT International Symposium on Software Testing and Analysis . ACM, Virtual Event USA, 101–114
Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, and Lin Tan. 2020 · 2020
Cited alongside, same era.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Cited alongside, same era.
Automated Repair of Programs from Large Language Models. In IEEE/ACM 45th International Conference on Software Engineering (ICSE) . 1469–1481
Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, and Shin Hwei Tan. 2023 · 2023
Later among the works it cites.
InCoder: A Generative Model for Code Infilling and Synthesis. In 11th International Conference on Learning Representations (ICLR) . 1–26
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, and Mike Lewis. 2023 · 2023
Later among the works it cites.
AI et al.: Machines Are about to Change Scientific Publishing Forever
Gianluca Grimaldi and Bruno Ehrler. 2023 · 2023
Later among the works it cites.
Impact of Code Language Models on Automated Program Repair. In 45th International Conference on Software Engineering (ICSE) . IEEE, 1430–1442
Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan. 2023 · 2023
Later among the works it cites.
The Stack: 3 TB of Permissively Licensed Source Code
Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro Von Werra, and Harm de Vries. 2023 · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Neural Machine Translation: A Review
Felix Stahlberg. 2020 · 2020
Cited alongside, same era.
A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark
He Ye, Matias Martinez, Thomas Durieux, and Martin Monperrus. 2021 · 2020
Cited alongside, same era.
Unified Pre-training for Program Understanding and Generation. In Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, 2655–2668
Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2021 · 2021
Cited alongside, same era.
Contrastive Code Representation Learning. In Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 . Association for Computational Linguistics, 5954–5971
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, and Ion Stoica. 2021 · 2021
Cited alongside, same era.
Nan Jiang, Thibaud Lutellier, and Lin Tan. 2021 · 2021
Cited alongside, same era.
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. In Neural Information Processing Systems Track on Datasets and Benchmarks . 1–16
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, and Shujie Liu. 2021 · 2021
Cited alongside, same era.
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. In Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, 8696–8708
Yue Wang, Weishi Wang, Shafiq Joty, and Steven C.H. Hoi. 2021 · 2021
Cited alongside, same era.
CM3: A Causal Masked Multimodal Model of the Internet
Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, and Luke Zettlemoyer. 2022 · 2022
Cited alongside, same era.
Later among the works it cites.
StarCoder: May the Source Be with You!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. 2023 · 2023
Later among the works it cites.
Fully Autonomous Programming with Large Language Models. In Genetic and Evolutionary Computation Conference (GECCO) . ACM, 1146–1155
Vadim Liventsev, Anastasiia Grishina, Aki Härmä, and Leon Moonen. 2023 · 2023
Later among the works it cites.
OpenAI. 2023 · 2023
Later among the works it cites.
Social AI and the Challenges of the Human-AI Ecosystem
Dino Pedreschi, Luca Pappalardo, Ricardo Baeza-Yates, Albert-Laszlo Barabasi, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, Janos Kertesz, Alistair Knott, Yannis Ioannidis, Paul Lukowicz, Andrea Passarella, Alex Sandy Pentland, John Shawe-Taylor, and Alessandro Vespignani. 2023 · 2023
Later among the works it cites.
HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. 2023 · 2023
Later among the works it cites.
Reflexion: An Autonomous Agent with Dynamic Memory and Self-Reflection
Noah Shinn, Beck Labash, and Ashwin Gopinath. 2023 · 2023
Later among the works it cites.
MUFIN: Improving Neural Repair Models with Back-Translation
André Silva, João F. Ferreira, He Ye, and Martin Monperrus. 2023 · 2023
Later among the works it cites.
An Analysis of the Automatic Bug Fixing Performance of ChatGPT. In IEEE/ACM International Workshop on Automated Program Repair (APR) . 23–30
Dominik Sobania, Martin Briesch, Carol Hanna, and Justyna Petke. 2023 · 2023
Later among the works it cites.
The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification
Norbert Tihanyi, Tamas Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, and Vasileios Mavroeidis. 2023 · 2023
Later among the works it cites.
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, and Steven C. H. Hoi. 2023 · 2023
Later among the works it cites.
Automated Program Repair in the Era of Large Pre-Trained Language Models. In 45th International Conference on Software Engineering (ICSE) . IEEE, 1482–1494
Chunqiu Steven Xia, Yuxiang Wei, and Lingming Zhang. 2023 · 2023
Later among the works it cites.
Towards AI-Driven Software Development: Challenges and Lessons from the Field (Keynote). In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering . ACM, San Francisco CA USA, 1–1
Eran Yahav. 2023 · 2023
Later among the works it cites.
A Survey of Learning-based Automated Program Repair
Quanjun Zhang, Chunrong Fang, Yuxiang Ma, Weisong Sun, and Zhenyu Chen. 2023 · 2023
Later among the works it cites.
Rethinking Round-Trip Translation for Machine Translation Evaluation. In Findings of the Association for Computational Linguistics: ACL 2023 . Association for Computational Linguistics, 319–337
Terry Yue Zhuo, Qiongkai Xu, Xuanli He, and Trevor Cohn. 2023 · 2023
Later among the works it cites.
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
Miltiadis Allamanis, Sheena Panthaplackel, and Pengcheng Yin. 2024 · 2024
Closest in time.
De-Hallucinator: Mitigating LLM Hallucinations in Code Generation Tasks via Iterative Grounding
Aryaz Eghbali and Michael Pradel. 2024 · 2024
Closest in time.
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation
Fang Liu, Yang Liu, Lin Shi, Houkun Huang, Ruifeng Wang, Zhen Yang, Li Zhang, Zhongqi Li, and Yuchi Ma. 2024 · 2024
Closest in time.
GPT-4o System Card
OpenAI, Aaron Hurst, Adam Lerer, Adam P. Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, A. J. Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, Aleksander Mądry, Alex Baker-Whitcomb, Alex Beutel, Alex Borzunov, Alex Carney, Alex Chow, Alex Kirillov, Alex Nichol, Alex Paino, Alex Renzin, Alex Tachard Passos, Alexander Kirillov, Alexi Christakis, Alexis Conneau, Ali Kamali, Allan Jabri, Allison Moyer, Allison Tam, Amadou Crookes, Amin Tootoochian, Amin Tootoonchian, Ananya Kumar, Andrea Vallone, Andrej Karpathy, Andrew Braunstein, Andrew Cann, Andrew Codispoti, Andrew Galu, Andrew Kondrich, Andrew Tulloch, Andrey Mishchenko, Angela Baek, Angela Jiang, Antoine Pelisse, Antonia Woodford, Anuj Gosalia, Arka Dhar, Ashley Pantuliano, Avi Nayak, Avital Oliver, Barret Zoph, Behrooz Ghorbani, Ben Leimberger, Ben Rossen, Ben Sokolowsky, Ben Wang, Benjamin Zweig, Beth Hoover, Blake Samic, Bob McGrew, Bobby Spero, Bogo Giertler, Bowen Cheng, Brad Lightcap, Brandon Walkin, Brendan Quinn, Brian Guarraci, Brian Hsu, Bright Kellogg, Brydon Eastman, Camillo Lugaresi, Carroll Wainwright, Cary Bassin, Cary Hudson, Casey Chu, Chad Nelson, Chak Li, Chan Jun Shern, Channing Conger, Charlotte Barette, Chelsea Voss, Chen Ding, Cheng Lu, Chong Zhang, Chris Beaumont, Chris Hallacy, Chris Koch, Christian Gibson, Christina Kim, Christine Choi, Christine McLeavey, Christopher Hesse, Claudia Fischer, Clemens Winter, Coley Czarnecki, Colin Jarvis, Colin Wei, Constantin Koumouzelis, Dane Sherburn, Daniel Kappler, Daniel Levin, Daniel Levy, David Carr, David Farhi, David Mely, David Robinson, David Sasaki, Denny Jin, Dev Valladares, Dimitris Tsipras, Doug Li, Duc Phong Nguyen, Duncan Findlay, Edede Oiwoh, Edmund Wong, Ehsan Asdar, Elizabeth Proehl, Elizabeth Yang, Eric Antonow, Eric Kramer, Eric Peterson, Eric Sigler, Eric Wallace, Eugene Brevdo, Evan Mays, Farzad Khorasani, Felipe Petroski Such, Filippo Raso, Francis Zhang, Fred von Lohmann, Freddie Sulit, Gabriel Goh, Gene Oden, Geoff Salmon, Giulio Starace, Greg Brockman, Hadi Salman, Haiming Bao, Haitang Hu, Hannah Wong, Haoyu Wang, Heather Schmidt, Heather Whitney, Heewoo Jun, Hendrik Kirchner, Henrique Ponde de Oliveira Pinto, Hongyu Ren, Huiwen Chang, Hyung Won Chung, Ian Kivlichan, Ian O’Connell, Ian O’Connell, Ian Osband, Ian Silber, Ian Sohl, Ibrahim Okuyucu, Ikai Lan, Ilya Kostrikov, Ilya Sutskever, Ingmar Kanitscheider, Ishaan Gulrajani, Jacob Coxon, Jacob Menick, Jakub Pachocki, James Aung, James Betker, James Crooks, James Lennon, Jamie Kiros, Jan Leike, Jane Park, Jason Kwon, Jason Phang, Jason Teplitz, Jason Wei, Jason Wolfe, Jay Chen, Jeff Harris, Jenia Varavva, Jessica Gan Lee, Jessica Shieh, Ji Lin, Jiahui Yu, Jiayi Weng, Jie Tang, Jieqi Yu, Joanne Jang, Joaquin Quinonero Candela, Joe Beutler, Joe Landers, Joel Parish, Johannes Heidecke, John Schulman, Jonathan Lachman, Jonathan McKay, Jonathan Uesato, Jonathan Ward, Jong Wook Kim, Joost Huizinga, Jordan Sitkin, Jos Kraaijeveld, Josh Gross, Josh Kaplan, Josh Snyder, Joshua Achiam, Joy Jiao, Joyce Lee, Juntang Zhuang, Justyn Harriman, Kai Fricke, Kai Hayashi, Karan Singhal, Katy Shi, Kavin Karthik, Kayla Wood, Kendra Rimbach, Kenny Hsu, Kenny Nguyen, Keren Gu-Lemberg, Kevin Button, Kevin Liu, Kiel Howe, Krithika Muthukumar, Kyle Luther, Lama Ahmad, Larry Kai, Lauren Itow, Lauren Workman, Leher Pathak, Leo Chen, Li Jing, Lia Guy, Liam Fedus, Liang Zhou, Lien Mamitsuka, Lilian Weng, Lindsay McCallum, Lindsey Held, Long Ouyang, Louis Feuvrier, Lu Zhang, Lukas Kondraciuk, Lukasz Kaiser, Luke Hewitt, Luke Metz, Lyric Doshi, Mada Aflak, Maddie Simens, Madelaine Boyd, Madeleine Thompson, Marat Dukhan, Mark Chen, Mark Gray, Mark Hudnall, Marvin Zhang, Marwan Aljubeh, Mateusz Litwin, Matthew Zeng, Max Johnson, Maya Shetty, Mayank Gupta, Meghan Shah, Mehmet Yatbaz, Meng Jia Yang, Mengchao Zhong, Mia Glaese, Mianna Chen, Michael Janner, Michael Lampe, Michael Petrov, Michael Wu, Michele Wang, Michelle Fradin, Michelle Pokrass, Miguel Castro, Miguel Oom Temudo de Castro, Mikhail Pavlov, Miles Brundage, Miles Wang, Minal Khan, Mira Murati, Mo Bavarian, Molly Lin, Murat Yesildal, Nacho Soto, Natalia Gimelshein, Natalie Cone, Natalie Staudacher, Natalie Summers, Natan LaFontaine, Neil Chowdhury, Nick Ryder, Nick Stathas, Nick Turley, Nik Tezak, Niko Felix, Nithanth Kudige, Nitish Keskar, Noah Deutsch, Noel Bundick, Nora Puckett, Ofir Nachum, Ola Okelola, Oleg Boiko, Oleg Murk, Oliver Jaffe, Olivia Watkins, Olivier Godement, Owen Campbell-Moore, Patrick Chao, Paul McMillan, Pavel Belov, Peng Su, Peter Bak, Peter Bakkum, Peter Deng, Peter Dolan, Peter Hoeschele, Peter Welinder, Phil Tillet, Philip Pronin, Philippe Tillet, Prafulla Dhariwal, Qiming Yuan, Rachel Dias, Rachel Lim, Rahul Arora, Rajan Troll, Randall Lin, Rapha Gontijo Lopes, Raul Puri, Reah Miyara, Reimar Leike, Renaud Gaubert, Reza Zamani, Ricky Wang, Rob Donnelly, Rob Honsby, Rocky Smith, Rohan Sahai, Rohit Ramchandani, Romain Huet, Rory Carmichael, Rowan Zellers, Roy Chen, Ruby Chen, Ruslan Nigmatullin, Ryan Cheu, Saachi Jain, Sam Altman, Sam Schoenholz, Sam Toizer, Samuel Miserendino, Sandhini Agarwal, Sara Culver, Scott Ethersmith, Scott Gray, Sean Grove, Sean Metzger, Shamez Hermani, Shantanu Jain, Shengjia Zhao, Sherwin Wu, Shino Jomoto, Shirong Wu, Shuaiqi, Xia, Sonia Phene, Spencer Papay, Srinivas Narayanan, Steve Coffey, Steve Lee, Stewart Hall, Suchir Balaji, Tal Broda, Tal Stramer, Tao Xu, Tarun Gogineni, Taya Christianson, Ted Sanders, Tejal Patwardhan, Thomas Cunninghman, Thomas Degry, Thomas Dimson, Thomas Raoux, Thomas Shadwell, Tianhao Zheng, Todd Underwood, Todor Markov, Toki Sherbakov, Tom Rubin, Tom Stasi, Tomer Kaftan, Tristan Heywood, Troy Peterson, Tyce Walters, Tyna Eloundou, Valerie Qi, Veit Moeller, Vinnie Monaco, Vishal Kuo, Vlad Fomenko, Wayne Chang, Weiyi Zheng, Wenda Zhou, Wesam Manassra, Will Sheu, Wojciech Zaremba, Yash Patil, Yilei Qian, Yongjik Kim, Youlong Cheng, Yu Zhang, Yuchen He, Yuchen Zhang, Yujia Jin, Yunxing Dai, and Yury Malkov. 2024 · 2024
Closest in time.
Fully Autonomous Programming Using Iterative Multi-Agent Debugging with Large Language Models
Anastasiia Grishina, Https://Orcid.Org/0000-0003-3139-0200, View Profile, Vadim Liventsev, Https://Orcid.Org/0000-0002-6670-6909, View Profile, Aki Härmä, Https://Orcid.Org/0000-0002-2966-3305, View Profile, Leon Moonen, Https://Orcid.Org/0000-0002-1761-6771, and View Profile. 2025 · 2025
Closest in time.
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation
Shuyin Ouyang, Jie M. Zhang, Mark Harman, and Meng Wang. 2025 · 2025
Closest in time.