🔗 Who cites «ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code»

13 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code»

1. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
2. The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research IdeasarXiv:2506.20803Chenglei Si, Tatsunori Hashimoto, Diyi Yang2025 · 19 citations
3. InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM ResearcharXiv:2510.27598Yunze Wu, Dayuan Fu, Weiye Si, et al.2025 · 6 citations
4. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
5. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
6. MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Xia, Zheyuan Yang, Arman Cohan, et al.2026

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

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