Zobrazeno 1 - 10
of 1 412
pro vyhledávání: '"P. Pistilli"'
Autor:
Pistilli, Giada, Leidinger, Alina, Jernite, Yacine, Kasirzadeh, Atoosa, Luccioni, Alexandra Sasha, Mitchell, Margaret
This paper introduces the "CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal impacts" dataset, designed to evaluate the social and cultural variation of Large Language Models (LLMs) across multiple languages and value-sensitive topic
Externí odkaz:
http://arxiv.org/abs/2405.13974
Human comprehension of a video stream is naturally broad: in a few instants, we are able to understand what is happening, the relevance and relationship of objects, and forecast what will follow in the near future, everything all at once. We believe
Externí odkaz:
http://arxiv.org/abs/2403.03037
Autor:
Constantinides, Marios, Tahaei, Mohammad, Quercia, Daniele, Stumpf, Simone, Madaio, Michael, Kennedy, Sean, Wilcox, Lauren, Vitak, Jessica, Cramer, Henriette, Bogucka, Edyta, Baeza-Yates, Ricardo, Luger, Ewa, Holbrook, Jess, Muller, Michael, Blumenfeld, Ilana Golbin, Pistilli, Giada
With the upcoming AI regulations (e.g., EU AI Act) and rapid advancements in generative AI, new challenges emerge in the area of Human-Centered Responsible Artificial Intelligence (HCR-AI). As AI becomes more ubiquitous, questions around decision-mak
Externí odkaz:
http://arxiv.org/abs/2403.00148
Autor:
Cavagnero, Niccolò, Rosi, Gabriele, Cuttano, Claudia, Pistilli, Francesca, Ciccone, Marco, Averta, Giuseppe, Cermelli, Fabio
Recent transformer-based architectures have shown impressive results in the field of image segmentation. Thanks to their flexibility, they obtain outstanding performance in multiple segmentation tasks, such as semantic and panoptic, under a single un
Externí odkaz:
http://arxiv.org/abs/2402.19422
Autor:
Pistilli, Francesca, Averta, Giuseppe
Deep neural networks for graphs have emerged as a powerful tool for learning on complex non-euclidean data, which is becoming increasingly common for a variety of different applications. Yet, although their potential has been widely recognised in the
Externí odkaz:
http://arxiv.org/abs/2310.04294
Neural Networks design is a complex and often daunting task, particularly for resource-constrained scenarios typical of mobile-sized models. Neural Architecture Search is a promising approach to automate this process, but existing competitive methods
Externí odkaz:
http://arxiv.org/abs/2310.04179
Autor:
Ornella K. Pistilli, Isabelle Caillaud
Publikováno v:
ZoneModa Journal, Vol 14, Iss 1, Pp 127-131 (2024)
Externí odkaz:
https://doaj.org/article/5935574d1fc54752b2057d537c3dcdd4
Breast cancer survivors’ opinion on personalizing endocrine therapy and developing informative tools
Autor:
Elie Rassy, Chiara Benvenuti, Sarra Akla, Antonio Di Meglio, Elise Martin, Julie Havas, André Rieutord, David Combarel, Léonor Fasse, Florian Scotté, Laure Guéroult Accolas, Guillemette Jacob, Anne Bergougnoux, Suzette Delaloge, Ines Vaz-Luis, Barbara Pistilli
Publikováno v:
npj Breast Cancer, Vol 10, Iss 1, Pp 1-6 (2024)
Abstract Understanding breast cancer survivors’ perspectives is critical to personalizing endocrine therapy (ET) in the adjuvant setting. A nationwide survey among breast cancer survivors was proposed in France, in collaboration with patient advoca
Externí odkaz:
https://doaj.org/article/d1fa8614642446248123b29cc4747664
The growing need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and computer science. While these fields are often considered in isolation, they rely on complementary
Externí odkaz:
http://arxiv.org/abs/2305.18615
Autor:
Laurençon, Hugo, Saulnier, Lucile, Wang, Thomas, Akiki, Christopher, del Moral, Albert Villanova, Scao, Teven Le, Von Werra, Leandro, Mou, Chenghao, Ponferrada, Eduardo González, Nguyen, Huu, Frohberg, Jörg, Šaško, Mario, Lhoest, Quentin, McMillan-Major, Angelina, Dupont, Gerard, Biderman, Stella, Rogers, Anna, allal, Loubna Ben, De Toni, Francesco, Pistilli, Giada, Nguyen, Olivier, Nikpoor, Somaieh, Masoud, Maraim, Colombo, Pierre, de la Rosa, Javier, Villegas, Paulo, Thrush, Tristan, Longpre, Shayne, Nagel, Sebastian, Weber, Leon, Muñoz, Manuel, Zhu, Jian, Van Strien, Daniel, Alyafeai, Zaid, Almubarak, Khalid, Vu, Minh Chien, Gonzalez-Dios, Itziar, Soroa, Aitor, Lo, Kyle, Dey, Manan, Suarez, Pedro Ortiz, Gokaslan, Aaron, Bose, Shamik, Adelani, David, Phan, Long, Tran, Hieu, Yu, Ian, Pai, Suhas, Chim, Jenny, Lepercq, Violette, Ilic, Suzana, Mitchell, Margaret, Luccioni, Sasha Alexandra, Jernite, Yacine
As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop, a 1-year international and multidisciplinary initiative, was formed w
Externí odkaz:
http://arxiv.org/abs/2303.03915