🔗 Who cites «Leveraging large language models for predictive chemistry»

25 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Leveraging large language models for predictive chemistry»

1. Empowering Biomedical Discovery with AI AgentsarXiv:2404.02831Shanghua Gao, Ada Fang, Yepeng Huang, et al.2024 · 333 citations
2. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
3. LAB-Bench: Measuring Capabilities of Language Models for Biology ResearcharXiv:2407.10362Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, et al.2024 · 62 citations
4. LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning DatasetarXiv:2402.09391Botao Yu, Frazier N. Baker, Ziqi Chen, et al.2024 · 51 citations
5. LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationarXiv:2401.17244Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, et al.2024 · 23 citations
6. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
7. Interpreting Multi-band Galaxy Observations with Large Language Model-Based AgentsarXiv:2409.14807Zechang Sun, Yuan-Sen Ting, Yaobo Liang, et al.2024 · 7 citations
8. AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree SearchFindings of the Association for Computational LinguisticsXiaozhuang Song, Xuanhao Pan, Xinjian Zhao, et al.2026 · 2 citations

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

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