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Autonomous machine learning research has gained significant attention recently.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Undiscovered public knowledge
Don R Swanson. 1986 · 1986
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The growth of scientific knowledge: a bibliometric perspective on the expansion and acceleration of scientific output
Lutz Bornmann, Ruediger Mutz, and Hans-Dieter Daniel. 2010 · 2010
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Learning word vectors for sentiment analysis
Andrew L Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts. 2011 · 2011
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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches
Kenny Powell. 2015 · 2015
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Scientific document summarization via citation contextualization and scientific discourse
Arman Cohan and Nazli Goharian. 2018 · 2018
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Emerging technologies in scientific research: Opportunities and challenges
Shyam Choudhury. 2021 · 2021
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Datasets: A community library for natural language processing
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander Rush, and Thomas Wolf. 2021 · 2021
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Feedback prize - english language learning
A. Franklin, M. Benner, N. Rambis, P. Baffour, R. Holbrook, S. Crossley, and ulrichboser. 2022 · 2022
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Natural language processing models that automate programming will transform chemistry research and teaching
Glen M. Hocky and Andrew D. White. 2022 · 2022
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The impact of large language models on scientific discovery: a preliminary study using gpt-4
Microsoft Research AI4Science and Microsoft Quantum. 2023 · 2023
Cited alongside, same era.
Github copilot ai pair programmer: Asset or liability?
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C Desmarais, and Zhen Ming Jack Jiang. 2023 · 2023
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Ellipse: A dataset for feedback prediction in machine learning
John Doe and Jane Smith. 2023 · 2023
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Benchmarking large language models as ai research agents
Qian Huang, Jian Vora, Percy Liang, and Jure Leskovec. 2023 · 2023
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OpenAI. 2023 · 2023
Cited alongside, same era.
Large language models for automated open-domain scientific hypotheses discovery
Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, and Erik Cambria. 2023 · 2023
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Automl-gpt: Automatic machine learning with gpt
Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, and Mi Zhou. 2023 · 2023
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Natural Language Processing: A Machine Learning Perspective
Yue Zhang and Zhiyang Teng. 2023 · 2023
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Goal driven discovery of distributional differences via language descriptions
Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein, and Jacob Steinhardt. 2023 · 2023
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Webarena: A realistic web environment for building autonomous agents
Shuyan Zhou, Frank F Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, et al. 2023 · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Cited alongside, same era.
Automl: A systematic review on automated machine learning
ScienceDirect. 2023 · 2023
Cited alongside, same era.
Mlagentbench2023: A framework for automating research idea generation and implementation using llm agents
John Smith, Jane Doe, and Wei Zhang. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
Cited alongside, same era.
Prompt2model: Generating deployable models from natural language instructions
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, and Graham Neubig. 2023 · 2023
Cited alongside, same era.
Large language models are zero shot hypothesis proposers
Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, and Bowen Zhou. 2023a
Cited in the paper.
Large language models are zero shot hypothesis proposers
Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, and Bowen Zhou. 2023b
Cited in the paper.
Later among the works it cites.
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, and Sung Ju Hwang. 2024 · 2024
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Github copilot
GitHub, Inc · 2024
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The AI Scientist: Towards fully automated open-ended scientific discovery
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Semrel2024: A collection of semantic textual relatedness datasets for 13 languages
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Scimon: Scientific inspiration machines optimized for novelty
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