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pro vyhledávání: '"P, Alliot"'
Autor:
Nagle, Alliot, Girish, Adway, Bondaschi, Marco, Gastpar, Michael, Makkuva, Ashok Vardhan, Kim, Hyeji
We formalize the problem of prompt compression for large language models (LLMs) and present a framework to unify token-level prompt compression methods which create hard prompts for black-box models. We derive the distortion-rate function for this se
Externí odkaz:
http://arxiv.org/abs/2407.15504
Autor:
Makkuva, Ashok Vardhan, Bondaschi, Marco, Ekbote, Chanakya, Girish, Adway, Nagle, Alliot, Kim, Hyeji, Gastpar, Michael
In recent years, transformer-based models have revolutionized deep learning, particularly in sequence modeling. To better understand this phenomenon, there is a growing interest in using Markov input processes to study transformers. However, our curr
Externí odkaz:
http://arxiv.org/abs/2406.03072
Akademický článek
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Autor:
Makkuva, Ashok Vardhan, Bondaschi, Marco, Girish, Adway, Nagle, Alliot, Jaggi, Martin, Kim, Hyeji, Gastpar, Michael
In recent years, attention-based transformers have achieved tremendous success across a variety of disciplines including natural languages. A key ingredient behind their success is the generative pretraining procedure, during which these models are t
Externí odkaz:
http://arxiv.org/abs/2402.04161
Autor:
Isabelle Antonutti
Publikováno v:
Belphégor, Vol 14 (2016)
Externí odkaz:
https://doaj.org/article/259d892583c3472fabdd0a2c31e1ebe2
Autor:
Camille Fauchon, Marie Binvignat, Francis Berenbaum, Philip G. Conaghan, Roland Peyron, Jérémie Sellam, Françoise Alliot-Launois, Nadine Attal, Philip Conaghan, Alice Courties, Niels Eijkelkamp, Rinie Geenen, Ida K. Haugen, Yves Henrotin, Kalle Kisand, Margreet Kloppenburg, Eva Kosek, Liisa Kuhi, Sylvain Mathieu, Céline Mathy, Ali Mobasheri, Stanislas Moumbe Talla, Patrick Omoumi, Serge Perrot, Simo Saarakkala, Alain Saraux, Hans-Georg Schaible
Publikováno v:
Osteoarthritis and Cartilage Open, Vol 7, Iss 1, Pp 100554- (2025)
Objective: Neuroimaging investigations are critical to provide a more direct assessment of brain disturbances associated with osteoarthritis (OA)-related pain, and to better understand its pathophysiology to develop new treatment strategies. This vie
Externí odkaz:
https://doaj.org/article/9041696eccf44c29b9019061d125226e
Autor:
Alaa Mansour, Anirudh Balakrishna Acharya, Charles Alliot, Nael Eid, Zahi Badran, Yousef Kareem, Betul Rahman
Publikováno v:
Journal of Oral Biology and Craniofacial Research, Vol 14, Iss 2, Pp 230-235 (2024)
Background: Hyaluronic acid (HA) is found in different locations in the periodontium, including mineralized tissues (i.e., cementum and alveolar bone) and non-mineralized tissues (i.e., gingiva and periodontal ligament). In addition, it seems to play
Externí odkaz:
https://doaj.org/article/84c7b47ca89d4a249101034df0809101
Autor:
Sreenivasan, Kartik, Sohn, Jy-yong, Yang, Liu, Grinde, Matthew, Nagle, Alliot, Wang, Hongyi, Xing, Eric, Lee, Kangwook, Papailiopoulos, Dimitris
Large neural networks can be pruned to a small fraction of their original size, with little loss in accuracy, by following a time-consuming "train, prune, re-train" approach. Frankle & Carbin conjecture that we can avoid this by training "lottery tic
Externí odkaz:
http://arxiv.org/abs/2202.12002
Distributed source coding (DSC) is the task of encoding an input in the absence of correlated side information that is only available to the decoder. Remarkably, Slepian and Wolf showed in 1973 that an encoder without access to the side information c
Externí odkaz:
http://arxiv.org/abs/2106.02797
Autor:
Hortense Alliot, Toussaint Tapsoba, Annabel Paye-Jaouen, Yaqoub Ashkanani, Eliane Josset-Raffet, Lise Natio, Matthieu Peycelon, Alaa El-Ghoneimi
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
PurposeThis study aims to evaluate the long-term outcome of the serous-lined extramural continent catheterizable outlet procedure (SLECCOP) associated with ileal bladder augmentation in children.MethodsThis was a monocentric and retrospective study (
Externí odkaz:
https://doaj.org/article/76fcb69cad574f739d35f9249dc6b451