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pro vyhledávání: '"Dahan, Samuel"'
Generative AI models, such as the GPT and Llama series, have significant potential to assist laypeople in answering legal questions. However, little prior work focuses on the data sourcing, inference, and evaluation of these models in the context of
Externí odkaz:
http://arxiv.org/abs/2409.07713
This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks, highlighting significant risks to legal professionals and clients. It suggests leveraging foundational models enhanced by domain-specific kno
Externí odkaz:
http://arxiv.org/abs/2404.12349
Deep learning has made significant progress in the past decade, and demonstrates potential to solve problems with extensive social impact. In high-stakes decision making areas such as law, experts often require interpretability for automatic systems
Externí odkaz:
http://arxiv.org/abs/2305.16490
Hate speech causes widespread and deep-seated societal issues. Proper enforcement of hate speech laws is key for protecting groups of people against harmful and discriminatory language. However, determining what constitutes hate speech is a complex t
Externí odkaz:
http://arxiv.org/abs/2305.13677
Over the past several years, legal applications of deep learning have been on the rise. However, as with other high-stakes decision making areas, the requirement for interpretability is of crucial importance. Current models utilized by legal practiti
Externí odkaz:
http://arxiv.org/abs/2201.01164
Akademický článek
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Autor:
Fairgrieve, Duncan, Borghetti, Jean-Sebastien, Dahan, Samuel, Goldberg, Richard, Halabi, Sam, Holm, Søren, Howells, Geraint
Publikováno v:
Fairgrieve, D, Borghetti, J-S, Dahan, S, Goldberg, R, Halabi, S, Holm, S & Howells, G 2023, ' Comparing No-Fault Compensation Systems for Vaccine Injury ', Tulane Journal of International & Comparative Law, vol. 31, no. 1, pp. 75-118 . < https://iris.uniupo.it/retrieve/ee9f09ec-52a6-4f38-bb24-ba4429b0ac92/Comparing%20No-Fault%20Compensation%20Systems%20for%20Vaccine%20Injury.pdf >
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3818::9d3a125fce29d179e63b1b8ceab1e282
https://research.manchester.ac.uk/en/publications/d193c799-cd7c-4cdc-8001-5b15997ea1cc
https://research.manchester.ac.uk/en/publications/d193c799-cd7c-4cdc-8001-5b15997ea1cc
Akademický článek
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Publikováno v:
McGill Law Journal. Jun2020, Vol. 65 Issue 4, p711-753. 43p. 1 Illustration.
Autor:
Dahan, Samuel
Th.--Méd.--Paris 6--Broussais-Hôtel Dieu, 1984. N°: 51.
Externí odkaz:
http://catalogue.bnf.fr/ark:/12148/cb36108206x