🔗 Who cites «AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks»

1. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
2. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
3. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
4. MLGym: A New Framework and Benchmark for Advancing AI Research AgentsarXiv:2502.14499Deepak Nathani, Lovish Madaan, Nicholas Roberts, et al.2025 · 50 citations
5. RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertsarXiv:2411.15114Hjalmar Wijk, Tao Lin, Joel Becker, et al.2024 · 46 citations
6. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
7. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
8. A2O: LLM-based Agentic Learning of Action-to-Object Features for Video Action RecognitionFindings of the Association for Computational LinguisticsTaiki Sekii, Fumiaki Sato2026

9 more papers of our library cite it; they have no page here yet.

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