🔗 Who cites «LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models»

1. 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
2. ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task DecompositionarXiv:2503.21248Yujie Liu, Zonglin Yang, Tong Xie, et al.2025 · 25 citations
3. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
4. DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and ExperiencearXiv:2506.04282Runxiang Wang, Boxiao Wang, Kai Li, et al.2025 · 9 citations
5. 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
6. Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahuan Zhang, Shunwen Bai, Tianheng Wang, et al.2026
7. The Past and Future of AI ScientistsarXiv:2608.14407Ross D. King2026

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

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