Artificial intelligence-based data extraction for next generation risk assessment: Is fine-tuning of a large language model worth the effort?-Reference-Cited by-同舟云学术

Artificial intelligence-based data extraction for next generation risk assessment: Is fine-tuning of a large language model worth the effort?

Published:2024-11 Issue: Volume:508 Page:153933
ISSN:0300-483X
Container-title:Toxicology
language:en
Short-container-title:Toxicology

Author:

Sonnenburg Anna,van der Lugt Benthe,Rehn Johannes,Wittkowski Paul,Bech Karsten,Padberg Florian,Eleftheriadou Dimitra,Dobrikov Todor,Bouwmeester Hans,Mereu Carla,Graf Ferdinand,Kneuer Carsten,Kramer Nynke I.,Blümmel Tilmann

Funder

European Food Safety Authority

Publisher

Elsevier BV

Reference20 articles.

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3. Blümmel, T., Rehn, J., Mereu, C., Graf, F., Bazing, F., Kneuer, C., Sonnenburg, A., Wittkowski, P., Padberg, F., Bech, K., Eleftheriadou, D., van der Lugt, B., Kramer, N., Bouwmeester, H., Dobrikov, T., 2024b. Exploring the Use of Artificial Intelligence (AI) for Extracting and Integrating Data Obtained through New Approach Methodologies (NAMs) for Chemical Risk Assessment. Supplementary data. https://zenodo.org/records/10101573.

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