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pro vyhledávání: '"Gomes, Luis"'
Sentence encoder encode the semantics of their input, enabling key downstream applications such as classification, clustering, or retrieval. In this paper, we present Serafim PT*, a family of open-source sentence encoders for Portuguese with various
Externí odkaz:
http://arxiv.org/abs/2407.19527
Autor:
Osório, Tomás, Leite, Bernardo, Cardoso, Henrique Lopes, Gomes, Luís, Rodrigues, João, Santos, Rodrigo, Branco, António
Leveraging research on the neural modelling of Portuguese, we contribute a collection of datasets for an array of language processing tasks and a corresponding collection of fine-tuned neural language models on these downstream tasks. To align with m
Externí odkaz:
http://arxiv.org/abs/2404.05333
Autor:
Santos, Rodrigo, Rodrigues, João, Gomes, Luís, Silva, João, Branco, António, Cardoso, Henrique Lopes, Osório, Tomás Freitas, Leite, Bernardo
To foster the neural encoding of Portuguese, this paper contributes foundation encoder models that represent an expansion of the still very scarce ecosystem of large language models specifically developed for this language that are fully open, in the
Externí odkaz:
http://arxiv.org/abs/2403.01897
To advance the neural decoding of Portuguese, in this paper we present a fully open Transformer-based, instruction-tuned decoder model that sets a new state of the art in this respect. To develop this decoder, which we named Gerv\'asio PT*, a strong
Externí odkaz:
http://arxiv.org/abs/2402.18766
Autor:
Rodrigues, João, Gomes, Luís, Silva, João, Branco, António, Santos, Rodrigo, Cardoso, Henrique Lopes, Osório, Tomás
To advance the neural encoding of Portuguese (PT), and a fortiori the technological preparation of this language for the digital age, we developed a Transformer-based foundation model that sets a new state of the art in this respect for two of its va
Externí odkaz:
http://arxiv.org/abs/2305.06721
Publikováno v:
In HardwareX September 2024 19
Autor:
Conceição, Daniel, Gomes, Luís Correia, Garcia, Joana Lemos, Rosa, Isadora, Moleiro, Joana, Marques, Inês, Bártolo, Joana, Maciel, João, Limbert, Manuel, Claro, Isabel
Publikováno v:
In iGIE September 2024 3(3):367-370
Autor:
Gomes, Luis Henrique
Este trabalho foi desenvolvido com o objetivo de determinar a recarga profunda na bacia do Ribeirão da Onça utilizando modelo de balanço hídrico em zona saturada do solo. A bacia está localizada na região de afloramento do Sistema Aqüífero Gu
Publikováno v:
In Energy & Buildings 1 December 2024 324