Metagpt: Meta programming for multi-agent collaborative framework S Hong, X Zheng, J Chen, Y Cheng, J Wang, C Zhang, Z Wang, SKS Yau, ... arXiv preprint arXiv:2308.00352, 2023 | 644 | 2023 |
Exploring large language model based intelligent agents: Definitions, methods, and prospects Y Cheng, C Zhang, Z Zhang, X Meng, S Hong, W Li, Z Wang, Z Wang, ... arXiv preprint arXiv:2401.03428, 2024 | 63 | 2024 |
Data interpreter: An llm agent for data science S Hong, Y Lin, B Liu, B Liu, B Wu, C Zhang, C Wei, D Li, J Chen, J Zhang, ... arXiv preprint arXiv:2402.18679, 2024 | 50 | 2024 |
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Z Liu, A Pavao, Z Xu, S Escalera, F Ferreira, I Guyon, S Hong, F Hutter, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3108-3125, 2021 | 34 | 2021 |
Evolving fully automated machine learning via life-long knowledge anchors X Zheng, Y Zhang, S Hong, H Li, L Tang, Y Xiong, J Zhou, Y Wang, X Sun, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3091-3107, 2021 | 16 | 2021 |
Metagpt: Meta programming for a multi-agent collaborative framework, 2023 S Hong, M Zhuge, J Chen, X Zheng, Y Cheng, C Zhang, J Wang, Z Wang, ... URL https://arxiv. org/abs/2308.00352, 0 | 14 | |
AFlow: Automating Agentic Workflow Generation J Zhang, J Xiang, Z Yu, F Teng, X Chen, J Chen, M Zhuge, X Cheng, ... arXiv preprint arXiv:2410.10762, 2024 | 10 | 2024 |
Metagpt: Meta programming for multi-agent collaborative framework. CoRR, abs/2308.00352, 2023. doi: 10.48550 S Hong, X Zheng, J Chen, Y Cheng, J Wang, C Zhang, Z Wang, SKS Yau, ... arXiv preprint ARXIV.2308.00352, 0 | 10 | |
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning Y Chi, Y Lin, S Hong, D Pan, Y Fei, G Mei, B Liu, T Pang, J Kwok, C Zhang, ... arXiv preprint arXiv:2410.17238, 2024 | 2 | 2024 |