🔗 Who cites «MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses»

31 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 «MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses»

1. AlphaEvolve: A coding agent for scientific and algorithmic discoveryarXiv:2506.13131Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 202 citations
2. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
3. From Automation to Autonomy: A Survey on Large Language Models in Scientific DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP)Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.2025 · 39 citations
4. LLM4SR: A Survey on Large Language Models for Scientific ResearcharXiv:2501.04306Ziming Luo, Zonglin Yang, Zexin Xu, et al.2025 · 39 citations
5. ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task DecompositionarXiv:2503.21248Yujie Liu, Zonglin Yang, Tong Xie, et al.2025 · 25 citations
6. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
7. Towards Scientific Intelligence: A Survey of LLM-based Scientific AgentsarXiv:2503.24047Shuo Ren, Can Xie, Pu Jian, et al.2025 · 24 citations
8. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
9. From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryarXiv:2508.14111Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.2025 · 19 citations
10. AI Scientists Fail Without Strong Implementation CapabilityarXiv:2506.01372Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.2025 · 12 citations
11. A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqing Wang, Kexin Zhang, Zihan Zhao, et al.2026 · 7 citations
12. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
13. What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary SearchFindings of the Association for Computational LinguisticsXinhao Zhang, Xi Chen, François Portet, et al.2026 · 1 citation
14. 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
15. ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science AnalysisFindings of the Association for Computational LinguisticsHao Wang, Jindong Han, Wei Fan, et al.2026

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

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