--- title: "Who cites ChemLLM: A Chemical Large Language Model" description: "43 papers of the Elamur Research library cite «ChemLLM: A Chemical Large Language Model», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/zhang-2024-chemllm-chemical-large-language-model/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2024-chemllm-chemical-large-language-model/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ChemLLM: A Chemical Large Language Model](https://md.research.elamur.ai/free/en/papers/zhang-2024-chemllm-chemical-large-language-model/) / cited by # Who cites «ChemLLM: A Chemical Large Language Model» 43 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «ChemLLM: A Chemical Large Language Model»](https://md.research.elamur.ai/free/en/papers/zhang-2024-chemllm-chemical-large-language-model/) 1. **[A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness](https://md.research.elamur.ai/free/en/papers/wang-2024-comprehensive-survey-small-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Fali Wang, Zhiwei Zhang, Xianren Zhang, et al.*2024 · 159 citations* 2. **[Scientific Large Language Models: A Survey on Biological & Chemical Domains](https://md.research.elamur.ai/free/en/papers/zhang-2024-scientific-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Qiang Zhang, Keyang Ding, Tianwen Lyv, et al.*2024 · 154 citations* 3. [**LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset arXiv:2402.09391**Botao Yu, Frazier N. Baker, Ziqi Chen, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-llasmol-advancing-large-language-models/) 4. [**SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models arXiv:2406.09098**Kehua Feng, Xinyi Shen, Weijie Wang, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/feng-2024-sciknoweval-evaluating-multi-level-scientific/) 5. **[SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature](https://md.research.elamur.ai/free/en/papers/wadden-2025-sciriff-resource-enhance-language-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Wadden, Kejian Shi, Jacob Morrison, et al.*2025 · 27 citations* 6. [**From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery arXiv:2508.14111**Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wei-2025-ai-science-agentic-science/) 7. [**OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery arXiv:2503.17604**Vignesh Prabhakar, Md Amirul Islam, Adam Atanas, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-omniscience-domain-specialized-llm-scientific/) 8. **[A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-survey-large-language-models-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqing Wang, Kexin Zhang, Zihan Zhao, et al.*2026 · 7 citations* 9. **[AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search](https://md.research.elamur.ai/free/en/papers/song-2026-aot-efficient-synthesis-planning-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, et al.*2026 · 2 citations* 10. **[ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry](https://md.research.elamur.ai/free/en/papers/zhang-2026-chemreason-bench-benchmarking-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinwei Zhang, Xucheng Liang, Yu Zhang, et al.*2026* 11. **[ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding](https://md.research.elamur.ai/free/en/papers/zhao-2026-chemvlr-prioritizing-reasoning-perception-chemical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuanle Zhao, Xinyuan Cai, Xiang Cheng, et al.*2026* 12. **[KGRxn-LLM: Knowledge Graph Enhanced Large Language Models for Molecular Reaction Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-kgrxn-llm-knowledge-graph-enhanced/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Weichen Liu, Qiyao Xue, Yuyang Wu, et al.*2026* 13. **[Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science](https://md.research.elamur.ai/free/en/papers/wu-2026-seeing-beyond-words-matvqa-challenging/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sifan Wu, Huan Zhang, Yizhan Li, et al.*2026* 30 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2024-chemllm-chemical-large-language-model/) — ChemLLM: A Chemical Large Language Model