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As AI capabilities advance toward and potentially beyond human-level performance, a natural transition emerges where AI-driven development becomes more efficient than human-centric approaches.
Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al · 2016
Earlier work this paper cites.
Tpot: A tree-based pipeline optimization tool for automating machine learning
Randal S Olson and Jason H Moore · 2016
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Neural architecture search with reinforcement learning
Barret Zoph and Quoc V. Le · 2017
Earlier work this paper cites.
A general reinforcement learning algorithm that masters chess, shogi, and go through self-play
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et al · 2018
Earlier work this paper cites.
Ml-plan: Automated machine learning via hierarchical planning
Felix Mohr, Marcel Wever, and Eyke Hüllermeier · 2018
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Darts: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2018
Earlier work this paper cites.
Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le · 2018
Earlier work this paper cites.
Economic impacts of artificial intelligence (ai), 2019
Marcin Szczepanski · 2019
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Automated machine learning with monte-carlo tree search
Herilalaina Rakotoarison, Marc Schoenauer, and Michèle Sebag · 2019
Earlier work this paper cites.
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, and Kurt Keutzer · 2019
Earlier work this paper cites.
The economic impact of artificial intelligence in health care: systematic review
Justus Wolff, Josch Pauling, Andreas Keck, and Jan Baumbach · 2020
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Autogluon-tabular: Robust and accurate automl for structured data
Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, and Alexander Smola · 2020
Earlier work this paper cites.
An admm based framework for automl pipeline configuration
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, and Alexander Gray · 2020
Earlier work this paper cites.
Automl-zero: Evolving machine learning algorithms from scratch
Esteban Real, Chen Liang, David R So, and Quoc V Le · 2020
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Auto-sklearn 2.0: Hands-free automl via meta-learning. arxiv 2020
Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, and Frank Hutter · 2022
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Automl-gpt: Automatic machine learning with gpt
Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, and Mingyuan Zhou · 2023
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Mlagentbench: Evaluating language agents on machine learning experimentation
Qian Huang, Jian Vora, Percy Liang, and Jure Leskovec · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Earlier work this paper cites.
React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2023
Cited alongside, same era.
Mlcopilot: Unleashing the power of large language models in solving machine learning tasks
Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, and Yuqing Yang · 2023
Cited alongside, same era.
Reflexion: Language agents with verbal reinforcement learning, 2023
Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
Cited alongside, same era.
Mle-bench: Evaluating machine learning agents on machine learning engineering
Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, et al · 2024
Cited alongside, same era.
Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions
Agentgym: Evolving large language model-based agents across diverse environments
Xi Zhiheng, Ding Yiwen, Chen Wenxiang, Hong Boyang, Guo Honglin, Wang Junzhe, Yang Dingwen, Liao Chenyang, Guo Xin, He Wei, Gao Songyang, Chen Lu, Zheng Rui, Zou Yicheng, Gui Tao, Zhang Qi, Qiu Xipeng, Huang Xuanjing, Wu Zuxuan, and Jiang Yu-Gang · 2024
Later among the works it cites.
Openhands: An open platform for ai software developers as generalist agents, 2025
Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, and Graham Neubig · 2025
Closest in time.
Aide: Ai-driven exploration in the space of code, 2025
Zhengyao Jiang, Dominik Schmidt, Dhruv Srikanth, Dixing Xu, Ian Kaplan, Deniss Jacenko, and Yuxiang Wu · 2025
Closest in time.
Xu Yang, Xiao Yang, Shikai Fang, Bowen Xian, Yuante Li, Jian Wang, Minrui Xu, Haoran Pan, Xinpeng Hong, Weiqing Liu, et al · 2025
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Ammar Abulibdeh, Esmat Zaidan, and Rawan Abulibdeh · 2024
Cited alongside, same era.
Cognitive architectures for language agents, 2024
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths · 2024
Cited alongside, same era.
Introducing openai o1
OpenAI · 2024
Cited alongside, same era.
System card: Claude opus 4 & claude sonnet 4, 2024
Anthropic AI · 2024
Cited alongside, same era.
The ai scientist: Towards fully automated open-ended scientific discovery, 2024
Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha · 2024
Cited alongside, same era.
Sela: Tree-search enhanced llm agents for automated machine learning
Yizhou Chi, Yizhang Lin, Sirui Hong, Duyi Pan, Yaying Fei, Guanghao Mei, Bangbang Liu, Tianqi Pang, Jacky Kwok, Ceyao Zhang, et al · 2024
Cited alongside, same era.
Autogluon-multimodal (automm): Supercharging multimodal automl with foundation models
Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Tony Hu, Katrin Kirchhoff, and George Karypis · 2024
Cited alongside, same era.
Qwen2. 5-coder technical report
Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Keming Lu, et al · 2024
Cited alongside, same era.
Which economic tasks are performed with ai? evidence from millions of claude conversations
Kunal Handa, Alex Tamkin, Miles McCain, Saffron Huang, Esin Durmus, Sarah Heck, Jared Mueller, Jerry Hong, Stuart Ritchie, Tim Belonax, et al · 2025
Closest in time.
Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
Closest in time.
Deepresearcher: Scaling deep research via reinforcement learning in real-world environments, 2025
Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, and Pengfei Liu · 2025
Closest in time.
Agent laboratory: Using llm agents as research assistants, 2025
Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu, and Emad Barsoum · 2025
Closest in time.
Dolphin: Moving towards closed-loop auto-research through thinking, practice, and feedback, 2025
Jiakang Yuan, Xiangchao Yan, Shiyang Feng, Bo Zhang, Tao Chen, Botian Shi, Wanli Ouyang, Yu Qiao, Lei Bai, and Bowen Zhou · 2025
Closest in time.
Paper2code: Automating code generation from scientific papers in machine learning, 2025
Minju Seo, Jinheon Baek, Seongyun Lee, and Sung Ju Hwang · 2025
Closest in time.
The second half
Shunyu Yao · 2025
Closest in time.
Mlzero: A multi-agent system for end-to-end machine learning automation, 2025
Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, and George Karypis · 2025
Closest in time.
Novelseek: When agent becomes the scientist – building closed-loop system from hypothesis to verification, 2025
NovelSeek Team, Bo Zhang, Shiyang Feng, Xiangchao Yan, Jiakang Yuan, Zhiyin Yu, Xiaohan He, Songtao Huang, Shaowei Hou, Zheng Nie, Zhilong Wang, Jinyao Liu, Runmin Ma, Tianshuo Peng, Peng Ye, Dongzhan Zhou, Shufei Zhang, Xiaosong Wang, Yilan Zhang, Meng Li, Zhongying Tu, Xiangyu Yue, Wangli Ouyang, Bowen Zhou, and Lei Bai · 2025
Closest in time.
Ai-researcher: Autonomous scientific innovation, 2025
Jiabin Tang, Lianghao Xia, Zhonghang Li, and Chao Huang · 2025
Closest in time.
rstar-math: Small llms can master math reasoning with self-evolved deep thinking
Guan Xinyu, Zhang Li, Lyna, Liu Yifei, Shang Ning, Sun Youran, Zhu Yi, Yang Fan, and Yang Mao · 2025
Closest in time.
Alita: Generalist agent enabling scalable agentic reasoning with minimal predefinition and maximal self-evolution, 2025
Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, and Mengdi Wang · 2025
Closest in time.
Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
Closest in time.