🔗 Who cites «CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark»

1. PaperBench: Evaluating AI's Ability to Replicate AI ResearcharXiv:2504.01848Giulio Starace, Oliver Jaffe, Dane Sherburn, et al.2025 · 86 citations
2. LLM4SR: A Survey on Large Language Models for Scientific ResearcharXiv:2501.04306Ziming Luo, Zonglin Yang, Zexin Xu, et al.2025 · 39 citations
3. Towards Scientific Intelligence: A Survey of LLM-based Scientific AgentsarXiv:2503.24047Shuo Ren, Can Xie, Pu Jian, et al.2025 · 24 citations
4. SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research PapersarXiv:2504.00255Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, et al.2025 · 23 citations
5. A Survey on Evaluation of LLM-based AgentsFindings of the Association for Computational LinguisticsAsaf Yehudai, Lilach Eden, Alan Li, et al.2026 · 21 citations
6. AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research SuitearXiv:2510.21652Jonathan Bragg, Mike D'Arcy, Nishant Balepur, et al.2025 · 19 citations
7. ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research CodeConference on Neural Information Processing Systems (NeurIPS)Tianyu Hua; Harper Hua; Violet Xiang; Benjamin Klieger; Sang T. Truong; Weixin Liang; Fan-Yun Sun;, Nick Haber2025 · 16 citations
8. When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific ResearcharXiv:2505.11855Guijin Son, Jiwoo Hong, Honglu Fan, et al.2025 · 13 citations
9. AI Scientists Fail Without Strong Implementation CapabilityarXiv:2506.01372Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.2025 · 12 citations
10. AutoReproduce: Automatic AI Experiment Reproduction with Paper LineageAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanle Zhao, Zilin Sang, Yuxuan Li, et al.2025 · 12 citations
11. Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent EvaluationarXiv:2510.11977Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, et al.2025 · 11 citations
12. How Far Are We From True Auto-Research?arXiv:2605.19156Zhengxin Zhang, Ning Wang, Sainyam Galhotra, et al.2026 · 5 citations
13. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
14. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT ImprovementsConference on Neural Information Processing Systems (NeurIPS)Bingchen Zhao, Despoina Magka, Minqi Jiang, et al.2025 · 4 citations
15. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations

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

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