Zobrazeno 1 - 10
of 1 976
pro vyhledávání: '"COSTA, P. B."'
We investigate the invertible and non-invertible symmetries of topological finite group gauge theories in general spacetime dimensions, where the gauge group can be Abelian or non-Abelian. We focus in particular on the 0-form symmetry. The gapped dom
Externí odkaz:
http://arxiv.org/abs/2407.07964
We introduce a mirror twin Higgs model with spontaneous $\mathbb{Z}_2$ symmetry breaking that ameliorates the constraints in twin Higgs cosmology and, at the same time, generates the Standard Model neutrino masses. The model features an $SU(2)$ tripl
Externí odkaz:
http://arxiv.org/abs/2404.11651
Autor:
Moraes, Daniel de S., Santos, Pedro T. C., da Costa, Polyana B., Pinto, Matheus A. S., Pinto, Ivan de J. P., da Veiga, Álvaro M. G., Colcher, Sergio, Busson, Antonio J. G., Rocha, Rafael H., Gaio, Rennan, Miceli, Rafael, Tourinho, Gabriela, Rabaioli, Marcos, Santos, Leandro, Marques, Fellipe, Favaro, David
This work presents an unsupervised method for automatically constructing and expanding topic taxonomies using instruction-based fine-tuned LLMs (Large Language Models). We apply topic modeling and keyword extraction techniques to create initial topic
Externí odkaz:
http://arxiv.org/abs/2401.06790
Autor:
Peng, Cheng, Yang, Xi, Chen, Aokun, Yu, Zehao, Smith, Kaleb E, Costa, Anthony B, Flores, Mona G, Bian, Jiang, Wu, Yonghui
Objective To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning. Methods We formulated 7 key clinical NLP tasks as text-to
Externí odkaz:
http://arxiv.org/abs/2312.06099
Autor:
Finardi, Paulo, Melo, Wanderley M., Neto, Edgard D. Medeiros, Mansano, Alex F., Costa, Pablo B., Caridá, Vinicius F.
Scarcity of domain-specific data in the Portuguese financial domain has disfavored the development of Natural Language Processing (NLP) applications. To address this limitation, the present study advocates for the utilization of synthetic data genera
Externí odkaz:
http://arxiv.org/abs/2311.11331
Autor:
Peng, Cheng, Yang, Xi, Chen, Aokun, Smith, Kaleb E, PourNejatian, Nima, Costa, Anthony B, Martin, Cheryl, Flores, Mona G, Zhang, Ying, Magoc, Tanja, Lipori, Gloria, Mitchell, Duane A, Ospina, Naykky S, Ahmed, Mustafa M, Hogan, William R, Shenkman, Elizabeth A, Guo, Yi, Bian, Jiang, Wu, Yonghui
There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This study develops a clinical generative LLM, GatorTronGPT, using 277 billi
Externí odkaz:
http://arxiv.org/abs/2305.13523
Autor:
de Sena, Arthur S., Nardelli, Pedro H. J., da Costa, Daniel B., Popovski, Petar, Papadias, Constantinos B., Debbah, Merouane
Aiming at overcoming practical issues of successive interference cancellation (SIC), this paper proposes a dual-polarized rate-splitting multiple access (RSMA) technique for a downlink massive multiple-input multiple-output (MIMO) network. By modelin
Externí odkaz:
http://arxiv.org/abs/2212.04850
The potential of Reconfigurable Intelligent Surfaces (RISs) for energy-efficient and performance-boosted wireless communications is recently gaining remarkable research attention, motivating their consideration for various $5$-th Generation (5G) Adva
Externí odkaz:
http://arxiv.org/abs/2212.02263
Animations have become increasingly realistic with the evolution of Computer Graphics (CG). In particular, human models and behaviors were represented through animated virtual humans, sometimes with a high level of realism. In particular, gender is a
Externí odkaz:
http://arxiv.org/abs/2208.02386
Autor:
de Sena, Arthur S., Nardelli, Pedro H. J., da Costa, Daniel B., Popovski, Petar, Papadias, Constantinos B.
Rate-splitting multiple access (RSMA) has recently appeared as a powerful technique for improving the downlink performance of multiple-input multiple-output (MIMO) systems. By flexibly managing interference, RSMA can deliver high spectral and energy
Externí odkaz:
http://arxiv.org/abs/2205.12207