Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rabaioli, Marcos"'
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:
Busson, Antonio J. G., Rocha, Rafael, Gaio, Rennan, Miceli, Rafael, Pereira, Ivan, Moraes, Daniel de S., Colcher, Sérgio, Veiga, Alvaro, Rizzi, Bruno, Evangelista, Francisco, Santos, Leandro, Marques, Fellipe, Rabaioli, Marcos, Feldberg, Diego, Mattos, Debora, Pasqua, João, Dias, Diogo
This work proposes the Two-headed DragoNet, a Transformer-based model for hierarchical multi-label classification of financial transactions. Our model is based on a stack of Transformers encoder layers that generate contextual embeddings from two sho
Externí odkaz:
http://arxiv.org/abs/2312.07730
Autor:
Busson, Antonio J. G., Gaio, Rennan, Rocha, Rafael H., Evangelista, Francisco, Rizzi, Bruno, Carvalho, Luan, Miceli, Rafael, Rabaioli, Marcos, Favaro, David
Saturn is an innovative platform that assists Foundation Model (FM) building and its integration with IT operations (Ops). It is custom-made to meet the requirements of data scientists, enabling them to effectively create and implement FMs while enha
Externí odkaz:
http://arxiv.org/abs/2312.07721