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pro vyhledávání: '"Jiménez, Álvaro Barbero"'
Autor:
Jiménez, Álvaro Barbero
Large Language Models have shown prominent capabilities in generating functional code from natural language descriptions. However, a standardized way to evaluate these capabilities in an objective and unbiased manner is still to be found. In this pap
Externí odkaz:
http://arxiv.org/abs/2410.16292
This survey focuses in encoder Language Models for solving tasks in the clinical domain in the Spanish language. We review the contributions of 17 corpora focused mainly in clinical tasks, then list the most relevant Spanish Language Models and Spani
Externí odkaz:
http://arxiv.org/abs/2308.02199
Data quality or data evaluation is sometimes a task as important as collecting a large volume of data when it comes to generating accurate artificial intelligence models. In fact, being able to evaluate the data can lead to a larger database that is
Externí odkaz:
http://arxiv.org/abs/2305.14115
Autor:
Jiménez, Álvaro Barbero
Diffusion methods have been proven to be very effective to generate images while conditioning on a text prompt. However, and although the quality of the generated images is unprecedented, these methods seem to struggle when trying to generate specifi
Externí odkaz:
http://arxiv.org/abs/2302.02412
Autor:
Serrano, Alejandro Vaca, Subies, Guillem Garcia, Zamorano, Helena Montoro, Garcia, Nuria Aldama, Samy, Doaa, Sanchez, David Betancur, Sandoval, Antonio Moreno, Nieto, Marta Guerrero, Jimenez, Alvaro Barbero
This paper presents RigoBERTa, a State-of-the-Art Language Model for Spanish. RigoBERTa is trained over a well-curated corpus formed up from different subcorpora with key features. It follows the DeBERTa architecture, which has several advantages ove
Externí odkaz:
http://arxiv.org/abs/2205.10233
Autor:
Subies, Guillem García1,2 (AUTHOR) guillem.garcia@iic.uam.es, Jiménez, Álvaro Barbero2 (AUTHOR), Fernández, Paloma Martínez1 (AUTHOR)
Publikováno v:
Journal of the American Medical Informatics Association. Sep2024, Vol. 31 Issue 9, p2137-2146. 10p.
Autor:
Kacprzyk, Janusz, Corchado, Emilio, Corchado, Juan M., Abraham, Ajith, Jiménez, Álvaro Barbero, Lázaro, Jorge López, Dorronsoro, José R.
Publikováno v:
Innovations in Hybrid Intelligent Systems; 2008, p120-127, 8p