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Recently, program synthesis driven by large language models (LLMs) has become increasingly popular.
Toward automatic program synthesis
Zohar Manna and Richard J Waldinger · 1971
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Early stopping-but when?
Lutz Prechelt · 2002
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The art of software testing , volume 2
Glenford J Myers, Tom Badgett, Todd M Thomas, and Corey Sandler · 2004
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Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio · 2012
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Auto-weka: Combined selection and hyperparameter optimization of classification algorithms
Chris Thornton, Frank Hutter, Holger H Hoos, and Kevin Leyton-Brown · 2013
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein · 2016
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Neural architecture search with reinforcement learning
Barret Zoph and Quoc V Le · 2016
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Deepxplore: Automated whitebox testing of deep learning systems
Kexin Pei, Yinzhi Cao, Junfeng Yang, and Suman Jana · 2017
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The eu general data protection regulation (gdpr)
Paul Voigt and Axel Von dem Bussche · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Bohb: Robust and efficient hyperparameter optimization at scale
Stefan Falkner, Aaron Klein, and Frank Hutter · 2018
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Metrics for explainable ai: Challenges and prospects
Robert R Hoffman, Shane T Mueller, Gary Klein, and Jordan Litman · 2018
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Hyperband: A novel bandit-based approach to hyperparameter optimization
Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, and Ameet Talwalkar · 2018
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Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
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Efficient neural architecture search via parameters sharing
Hieu Pham, Melody Guan, Barret Zoph, Quoc Le, and Jeff Dean · 2018
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Deeptest: Automated testing of deep-neural-network-driven autonomous cars
Yuchi Tian, Kexin Pei, Suman Jana, and Baishakhi Ray · 2018
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Al: autogenerating supervised learning programs
José P Cambronero and Martin C Rinard · 2019
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Guiding deep learning system testing using surprise adequacy
Jinhan Kim, Robert Feldt, and Shin Yoo · 2019
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On testing machine learning programs
Houssem Ben Braiek and Foutse Khomh · 2020
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Brp-nas: Prediction-based nas using gcns
Lukasz Dudziak, Thomas Chau, Mohamed Abdelfattah, Royson Lee, Hyeji Kim, and Nicholas Lane · 2020
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The eos decision and length extrapolation
Benjamin Newman, John Hewitt, Percy Liang, and Christopher D Manning · 2020
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Automl-zero: Evolving machine learning algorithms from scratch
Esteban Real, Chen Liang, David So, and Quoc Le · 2020
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Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka, Daniel Kunin, Daniel L Yamins, and Surya Ganguli · 2020
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Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al · 2021
Cited alongside, same era.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, et al · 2021
Cited alongside, same era.
A survey on bias and fairness in machine learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan · 2021
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Neural architecture search without training
Visual programming: Compositional visual reasoning without training
Tanmay Gupta and Aniruddha Kembhavi · 2023
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Large language models for automated data science: Introducing caafe for context-aware automated feature engineering
Noah Hollmann, Samuel Müller, and Frank Hutter · 2023
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Kaggle - llm science exam competition data
Kaggle · 2023
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Mayo clinic - strip ai competition data
Kaggle and Mayo Clinic · 2023
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American express - default prediction competition data
Kaggle and American Express · 2023
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Happywhale - whale and dolphin identification competition data
Kaggle and Happywhale · 2023
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Joe Mellor, Jack Turner, Amos Storkey, and Elliot J Crowley · 2021
Cited alongside, same era.
Automl adoption in ml software
Koen Van der Blom, Alex Serban, Holger Hoos, and Joost Visser · 2021
Cited alongside, same era.
Automatic unit test generation for machine learning libraries: How far are we?
Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, and Nachiappan Nagappan · 2021
Cited alongside, same era.
Whither automl? understanding the role of automation in machine learning workflows
Doris Xin, Eva Yiwei Wu, Doris Jung-Lin Lee, Niloufar Salehi, and Aditya Parameswaran · 2021
Cited alongside, same era.
Exploring length generalization in large language models
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, and Behnam Neyshabur · 2022
Cited alongside, same era.
Codet: Code generation with generated tests
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, and Weizhu Chen · 2022
Cited alongside, same era.
Muffin: Testing deep learning libraries via neural architecture fuzzing
Jiazhen Gu, Xuchuan Luo, Yangfan Zhou, and Xin Wang · 2022
Cited alongside, same era.
Litetransformersearch: Training-free neural architecture search for efficient language models
Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sebastien Bubeck, Farinaz Koushanfar, and Debadeepta Dey · 2022
Cited alongside, same era.
Icr - identifying age-related conditions competition data
Kaggle and LLC InVitro Cell Research · 2023
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Feedback prize - english language learning competition data
Kaggle and The Learning Agency Lab · 2023
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Cifar-10 and cifar-100 datasets
Alex Krizhevsky et al · 2023
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Imdb dataset of 50k movie reviews
Lakshmi25npathi · 2023
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Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, and Shafiq Joty · 2023
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Iris species
UCI Machine Learning · 2023
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Chain of code: Reasoning with a language model-augmented code emulator
Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, and Brian Ichter · 2023
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Chameleon: Plug-and-play compositional reasoning with large language models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, and Jianfeng Gao · 2023
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Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2023
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Ag news classification dataset
Aman Anand Rai · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik R Narasimhan, and Shunyu Yao · 2023
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Vipergpt: Visual inference via python execution for reasoning
Dídac Surís, Sachit Menon, and Carl Vondrick · 2023
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Automl in the age of large language models: Current challenges, future opportunities and risks
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, et al · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan · 2023
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Gpt-nas: Neural architecture search with the generative pre-trained model
Caiyang Yu, Xianggen Liu, Chenwei Tang, Wentao Feng, and Jiancheng Lv · 2023
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Can gpt-4 perform neural architecture search?
Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, and Samuel Albanie · 2023
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