AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

3 October 2024

Papers citing "AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML"

6 / 6 papers shown

Title
ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions Bufang Yang Lilin Xu Liekang Zeng Kaiwei Liu Siyang Jiang Wenrui Lu Hongkai Chen Xiaofan Jiang Guoliang Xing Zhenyu Yan LLMAG 43 0 0 20 May 2025
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices Patara Trirat Jae-Gil Lee 34 0 0 15 May 2025
MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering Rushi Qiang Yuchen Zhuang Yinghao Li D. Kilman Rongzhi Zhang ... Ian Shu-Hei Wong Sherry Yang Percy Liang Chao Zhang Bo Dai ELM 51 1 0 12 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 85 0 0 07 May 2025
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning Minju Seo Jinheon Baek Seongyun Lee Sung Ju Hwang AI4CE 70 3 0 24 Apr 2025
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Chengkai Xu Jiaqi Liu Shiyu Fang Jian Sun Dong Chen Peng Hang Jian Sun 121 1 0 21 Feb 2025