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MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Z. Chen, A. Cano, A. Romanou, A. Bonnet, K. Matoba, F. Salvi, M. Pagliardini, S. Fan, A. Köpf, A. Mohtashami, A. Sallinen, A. Sakhaeirad, V. Swamy, I. Krawczuk, D. Bayazit, A. Marmet, S. Montariol, M. Hartley, M. Jaggi, and A. Bosselut. (2023)

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ConVQG: Contrastive Visual Question Generation with Multimodal Guidance.L. Mi, S. Montariol, J. Navarro, X. Dai, A. Bosselut, and D. Tuia. AAAI, page 4207-4215. AAAI Press, (2024)Apprentissage de plongements de mots dynamiques avec régularisation de la dérive (Learning dynamic word embeddings with drift regularisation).S. Montariol, and A. Allauzen. PFIA (Articles longs), page 13-26. ATALA, (2019)MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsZ. Chen, A. Cano, A. Romanou, A. Bonnet, K. Matoba, F. Salvi, M. Pagliardini, S. Fan, A. Köpf, A. Mohtashami and 10 other author(s). (2023)Multi-task Learning for Features Extraction in Financial Annual Reports.S. Montariol, M. Martinc, A. Pelicon, S. Pollak, B. Koloski, I. Loncarski, A. Valentincic, K. Sustar, R. Ichev, and M. Znidarsic. PKDD/ECML Workshops (2), volume 1753 of Communications in Computer and Information Science, page 7-24. Springer, (2022)CRAB: Assessing the Strength of Causal Relationships Between Real-world Events.A. Romanou, S. Montariol, D. Paul, L. Laugier, K. Aberer, and A. Bosselut. EMNLP, page 15198-15216. Association for Computational Linguistics, (2023)Scalable and Interpretable Semantic Change Detection.S. Montariol, M. Martinc, and L. Pivovarova. NAACL-HLT, page 4642-4652. Association for Computational Linguistics, (2021)Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings.C. Fourrier, and S. Montariol. LChange@ACL, page 97-112. Association for Computational Linguistics, (2022)CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks.M. Ismayilzada, D. Paul, S. Montariol, M. Geva, and A. Bosselut. CoRR, (2023)Multi-Task Learning for Features Extraction in Financial Annual Reports.S. Montariol, M. Martinc, A. Pelicon, S. Pollak, B. Koloski, I. Loncarski, and A. Valentincic. CoRR, (2024)Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images.J. Prado, S. Montariol, J. Castillo-Navarro, D. Tuia, and A. Bosselut. IGARSS, page 2745-2749. IEEE, (2024)

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MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

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MEDITRON-70B: Scaling Medical Pretraining for Large Language Models