activity
20172022
most citedElectricity Theft Detection with self-attention

23 citations · 36 across the 10 of their papers we have counts for

collaborators

16 papers

cs.IR20221 cited

NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost

Thales Sales Almeida, Thiago Laitz, João Seródio +3

The widespread availability of search API's (both free and commercial) brings the promise of increased coverage and quality of search results for metasearch engines, while decreasi…

eess.IV20223 cited

Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge

Diedre Carmo, Leticia Rittner, Roberto Lotufo

Airway segmentation in computed tomography images can be used to analyze pulmonary diseases, however, manual segmentation is labor intensive and relies on expert knowledge. This ma…

cs.CL2022

MonoByte: A Pool of Monolingual Byte-level Language Models

Hugo Abonizio, Leandro Rodrigues de Souza, Roberto Lotufo +1

The zero-shot cross-lingual ability of models pretrained on multilingual and even monolingual corpora has spurred many hypotheses to explain this intriguing empirical result. Howev…

cs.CL20224 cited

Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task

Guilherme Moraes Rosa, Luiz Bonifacio, Vitor Jeronymo +3

Recent work has shown that language models scaled to billions of parameters, such as GPT-3, perform remarkably well in zero-shot and few-shot scenarios. In this work, we experiment…

cs.AI2022

Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents

Ramon Pires, Fábio C. de Souza, Guilherme Rosa +2

A typical information extraction pipeline consists of token- or span-level classification models coupled with a series of pre- and post-processing scripts. In a production pipeline…

cs.CL20211 cited

On the ability of monolingual models to learn language-agnostic representations

Leandro Rodrigues de Souza, Rodrigo Nogueira, Roberto Lotufo

Pretrained multilingual models have become a de facto default approach for zero-shot cross-lingual transfer. Previous work has shown that these models are able to achieve cross-lin…