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Extracting accurate materials data from research papers with conversational language models and prompt engineering

Engineering and Technology

Extracting accurate materials data from research papers with conversational language models and prompt engineering

M. P. Polak and D. Morgan

Discover ChatExtract, a groundbreaking method crafted by authors Maciej P. Polak and Dane Morgan for automating the precise extraction of data from research papers using cutting-edge conversational large language models. This innovative approach achieves remarkable accuracy and showcases the potential to revolutionize data extraction in materials science.

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