🔗 Who cites «Scientific Large Language Models: A Survey on Biological & Chemical Domains»

32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Scientific Large Language Models: A Survey on Biological & Chemical Domains»

1. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
2. RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertsarXiv:2411.15114Hjalmar Wijk, Tao Lin, Joel Becker, et al.2024 · 46 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. 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
5. OmniScience: A Domain-Specialized LLM for Scientific Reasoning and DiscoveryarXiv:2503.17604Vignesh Prabhakar, Md Amirul Islam, Adam Atanas, et al.2025 · 13 citations
6. SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM AgentsarXiv:2505.23559Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.2025 · 8 citations
7. 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
8. Large Means Left: Political Bias in Large Language Models Increases with Their Number of ParametersarXiv:2505.04393David Exler, Mark Schutera, Markus Reischl, et al.2025 · 3 citations
9. ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language UnderstandingFindings of the Association for Computational LinguisticsXuanle Zhao, Xinyuan Cai, Xiang Cheng, et al.2026
10. KGRxn-LLM: Knowledge Graph Enhanced Large Language Models for Molecular Reaction ReasoningBioNLPWeichen Liu, Qiyao Xue, Yuyang Wu, et al.2026
11. LLMs Know More About Numbers than They Can SayConference of the European Chapter of the Association for Computational Linguistics (EACL)Fengting Yuchi, Li Du, Jason Eisner2026
12. MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language ModelsFindings of the Association for Computational LinguisticsPeng Wang, Yuxiong Yan, Xiao Ding, et al.2026

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

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