Large language models in electronic laboratory notebooks: Transforming materials science research workflows

Author:

Jalali Mehrdad,Luo Yi,Caulfield Lachlan,Sauter Eric,Nefedov Alexei,Wöll Christof

Funder

DFG

Publisher

Elsevier BV

Reference46 articles.

1. Shen, Y., Heacock, L., Elias, J., Hentel, K.D., Reig, B., Shih, G., and Moy, L.: ‘ChatGPT and other large language models are double-edged swords’, in Editor (Ed.)^(Eds.): ‘Book ChatGPT and other large language models are double-edged swords’ (Radiological Society of North America, 2023, edn.), pp. e230163.

2. Large language models encode clinical knowledge;Singhal;Nature,2023

3. Emergent analogical reasoning in large language models;Webb;Nat. Hum. Behav.,2023

4. How can we know what language models know?;Jiang;Trans. Assoc. Comput. Linguist.,2020

5. Zhao, W.X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., and Dong, Z.: A survey of large language models, arXiv preprint arXiv:2303.18223, 2023.

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