Publication
Chemllm: A chemical large language model
Molecule Discovery, Large Language Models
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Citation
Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Wanli Ouyang, Dongzhan Zhou, Shufei Zhang, Mao Su, Han-Sen Zhong, Yuqiang Li. (2024). Chemllm: A chemical large language model. arXiv preprint arXiv:2402.06852.
About this work
ChemLLM is a chemistry language model accompanied by ChemData, an instruction-tuning dataset, and ChemBench, a benchmark covering nine chemistry tasks.
The framework adapts structured chemical knowledge for dialogue. Its evaluation compares performance on chemical tasks and general-language tasks with models including GPT-4.