Fetching the paper…
Reading the bibliography…
Recent advances in AI and ML have transformed data science, yet increasing complexity and expertise requirements continue to hinder progress.
Long short-term memory
Alex Graves · 2012
Earlier work this paper cites.
Statistical physics
Akira Isihara · 2013
Earlier work this paper cites.
PyCaret: An open source, low-code machine learning library in Python , April 2020
Moez Ali · 2020
Earlier work this paper cites.
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.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
Scaling laws for neural machine translation
Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, and Colin Cherry · 2023
Earlier work this paper cites.
Mlagentbench: Evaluating language agents on machine learning experimentation
Qian Huang, Jian Vora, Percy Liang, and Jure Leskovec · 2023
Earlier work this paper cites.
Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, Katie Millican, et al · 2023
Earlier work this paper cites.
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
Earlier work this paper cites.
Dsbench: How far are data science agents to becoming data science experts?
Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, and Dong Yu · 2024
Earlier work this paper cites.
Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al · 2024
Cited alongside, same era.
Discoverybench: Towards data-driven discovery with large language models
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, and Peter Clark · 2024
Cited alongside, same era.
Qa-rag: Exploring llm reliance on external knowledge
Aigerim Mansurova, Aiganym Mansurova, and Aliya Nugumanova · 2024
Cited alongside, same era.
Insightbench: Evaluating business analytics agents through multi-step insight generation
Gaurav Sahu, Abhay Puri, Juan Rodriguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vazquez, et al · 2024
Cited alongside, same era.
Stepan Kulibaba, Artem Dzhalilov, Roman Pakhomov, Oleg Svidchenko, Alexander Gasnikov, and Aleksei Shpilman · 2025
Closest in time.
Kag: Boosting llms in professional domains via knowledge augmented generation
Lei Liang, Zhongpu Bo, Zhengke Gui, Zhongshu Zhu, Ling Zhong, Peilong Zhao, Mengshu Sun, Zhiqiang Zhang, Jun Zhou, Wenguang Chen, et al · 2025
Closest in time.
Ml-master: Towards ai-for-ai via integration of exploration and reasoning
Zexi Liu, Yuzhu Cai, Xinyu Zhu, Yujie Zheng, Runkun Chen, Ying Wen, Yanfeng Wang, Siheng Chen, et al · 2025
Closest in time.
Mle-star: Machine learning engineering agent via search and targeted refinement
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan Ö Arık, and Tomas Pfister · 2025
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan Yang, Zihan Zhong, Tony Hu, Katrin Kirchhoff, and George Karypis · 2024
Cited alongside, same era.
Openhands: An open platform for ai software developers as generalist agents
Xingyao Wang, Boxuan Li, Yufan Song, Frank F Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, et al · 2024
Cited alongside, same era.
Neo: Next-generation ai agents
HeyNeo Team · 2025
Cited alongside, same era.
Scaling laws for downstream task performance in machine translation
Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, and Sanmi Koyejo · 2025
Cited alongside, same era.
Aide: Ai-driven exploration in the space of code
Zhengyao Jiang, Dominik Schmidt, Dhruv Srikanth, Dixing Xu, Ian Kaplan, Deniss Jacenko, and Yuxiang Wu · 2025
Cited alongside, same era.
Mediconfusion: Can you trust your ai radiologist? probing the reliability of multimodal medical foundation models
Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, and Mahdi Soltanolkotabi · 2025
Closest in time.
NovelSeek Team, Bo Zhang, Shiyang Feng, Xiangchao Yan, Jiakang Yuan, Zhiyin Yu, Xiaohan He, Songtao Huang, Shaowei Hou, Zheng Nie, et al · 2025
Closest in time.
Ai research agents for machine learning: Search, exploration, and generalization in mle-bench
Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, et al · 2025
Closest in time.
Twinmarket: A scalable behavioral and social simulation for financial markets
Yuzhe Yang, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, and Benyou Wang · 2025
Closest in time.
Contextgnn: Beyond two-tower recommendation systems
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Dong Wang, Manan Shah, Shenyang Huang, Blaž Stojanovič, Alan Krumholz, et al · 2025
Closest in time.