Zobrazeno 1 - 10
of 61 800
pro vyhledávání: '"A. P. Mendes"'
Autor:
Abdin, Marah, Aneja, Jyoti, Behl, Harkirat, Bubeck, Sébastien, Eldan, Ronen, Gunasekar, Suriya, Harrison, Michael, Hewett, Russell J., Javaheripi, Mojan, Kauffmann, Piero, Lee, James R., Lee, Yin Tat, Li, Yuanzhi, Liu, Weishung, Mendes, Caio C. T., Nguyen, Anh, Price, Eric, de Rosa, Gustavo, Saarikivi, Olli, Salim, Adil, Shah, Shital, Wang, Xin, Ward, Rachel, Wu, Yue, Yu, Dingli, Zhang, Cyril, Zhang, Yi
We present phi-4, a 14-billion parameter language model developed with a training recipe that is centrally focused on data quality. Unlike most language models, where pre-training is based primarily on organic data sources such as web content or code
Externí odkaz:
http://arxiv.org/abs/2412.08905
Zero-shot learning enables models to generalize to unseen classes by leveraging semantic information, bridging the gap between training and testing sets with non-overlapping classes. While much research has focused on zero-shot learning in computer v
Externí odkaz:
http://arxiv.org/abs/2412.03771
Autor:
Lopes, C. E. Ferreira, Gutiérrez-Soto, L. A., Alberice, V. S. Ferreira, Monsalves, N., Hazarika, D., Catelan, M., Placco, V. M., Limberg, G., Almeida-Fernandes, F., Perottoni, H. D., Castelli, A. V. Smith, Akras, S., Alonso-García, J., Cordeiro, V., Arancibia, M. Jaque, Daflon, S., Dias, B., Gonçalves, D. R., Machado-Pereira, E., Lopes, A. R., Bom, C. R., de Souza, R. C. Thom, de Isídio, N. G., Alvarez-Candal, A., De Rossi, M. E., Bonatto, C. J., Palma, B. Cubillos, Fernandes, M. Borges, Humire, P. K., Schwarz, G. B. Oliveira, Schoenell, W., Kanaan, A., de Oliveira, C. Mendes
Context. Spectroscopic surveys like APOGEE, GALAH, and LAMOST have significantly advanced our understanding of the Milky Way by providing extensive stellar parameters and chemical abundances. Complementing these, photometric surveys with narrow/mediu
Externí odkaz:
http://arxiv.org/abs/2411.18748
Autor:
Sifón, Cristóbal, Finoguenov, Alexis, Haines, Christopher P., Jaffé, Yara, Amrutha, B. M., Demarco, Ricardo, Lima, E. V. R., Lima-Dias, Ciria, Méndez-Hernández, Hugo, Merluzzi, Paola, Monachesi, Antonela, Teixeira, Gabriel S. M., Tejos, Nicolas, Araya-Araya, Pablo, Argudo-Fernández, Maria, Baier-Soto, Raúl, Bilton, Lawrence E., Bom, C. R., Calderón, Juan Pablo, Cassarà, Letizia P., Comparat, Johan, Courtois, H. M., D'Ago, Giuseppe, Dupuy, Alexandra, Fritz, Alexander, Haack, Rodrigo F., Herpich, Fabio R., Ibar, E., Kuchner, Ulrike, Lopes, Amanda R., Lopez, Sebastian, Lösch, Elismar, McGee, Sean, de Oliveira, C. Mendes, Morelli, Lorenzo, Moretti, Alessia, Pallero, Diego, Piraino-Cerda, Franco, Pompei, Emanuela, Rescigno, U., Smith, Rory, Castelli, Analía V. Smith, Sodré Jr, Laerte, Tempel, Elmo
CHANCES, the CHileAN Cluster galaxy Evolution Survey, will study the evolution of galaxies in and around ${\sim}$150 massive galaxy clusters, from the local universe out to z=0.45. CHANCES will use the new 4MOST Spectroscopic Survey Facility on the V
Externí odkaz:
http://arxiv.org/abs/2411.13655
The impact of disk-locking on the stellar properties related to magnetic activity from the theoretical point of view is investigated. We use the ATON stellar evolution code to calculate theoretical values of convective turnover times ($\tau_{\rm c}$)
Externí odkaz:
http://arxiv.org/abs/2411.07073
Artificial Intelligence (AI) has emerged in popularity recently, recording great progress in various industries. However, the environmental impact of AI is a growing concern, in terms of the energy consumption and carbon footprint of Machine Learning
Externí odkaz:
http://arxiv.org/abs/2411.08069
Autor:
Ribas, Marcelo Eduardo Marques, Mendes, Heloisa Benedet, de Oliveira, Luiz Eduardo Soares, Zanlorensi, Luiz Antonio, de Almeida, Paulo Ricardo Lisboa
In smart cities, it is common practice to define a maximum length of stay for a given parking space to increase the space's rotativity and discourage the usage of individual transportation solutions. However, automatically determining individual car
Externí odkaz:
http://arxiv.org/abs/2411.00158
Publikováno v:
CIKM MMSR 2024
Large Language Models (LLMs) have demonstrated potential as effective search relevance evaluators. However, there is a lack of comprehensive guidance on which models consistently perform optimally across various contexts or within specific use cases.
Externí odkaz:
http://arxiv.org/abs/2410.19974
We consider the problem of estimating the physical resources required for routing entanglement along an arbitrary path in a quantum bipartite entanglement network based on first-generation quantum repeaters. This resource consumption is intimately li
Externí odkaz:
http://arxiv.org/abs/2410.10512
In this work, we introduce PII-Scope, a comprehensive benchmark designed to evaluate state-of-the-art methodologies for PII extraction attacks targeting LLMs across diverse threat settings. Our study provides a deeper understanding of these attacks b
Externí odkaz:
http://arxiv.org/abs/2410.06704