Who cites «ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code»
- MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkarXiv:2308.00352Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 630 citations
- OpenHands: An Open Platform for AI Software Developers as Generalist AgentsarXiv:2407.16741Xingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 221 citations
- MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringarXiv:2410.07095Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al.2024 · 140 citations
- LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
- Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
- Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case StudyInternational Conference on Computational Linguistics (COLING)Bowen Li, Wenhan Wu, Ziwei Tang, et al.2025 · 13 citations
- AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific ResearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Zhao, Weiyuan Chen, Zhijian Xu, et al.2025 · 9 citations
- OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ding, Shichun Liu, Enhui Yang, et al.2026 · 4 citations
- SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data ScienceAnnual Meeting of the Association for Computational Linguistics (ACL)Wonduk Seo, Juhyeon Lee, Yanjun Shao, et al.2026 · 3 citations
- Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/tang-2023-ml-bench-evaluating-large-language/cited-by/