23 citations · 45 across the 15 of their papers we have counts for
9 papers · 1 filter
Visconde: Multi-document QA with GPT-3 and Neural Reranking
Jayr Pereira, Robson Fidalgo, Roberto Lotufo +1
This paper proposes a question-answering system that can answer questions whose supporting evidence is spread over multiple (potentially long) documents. The system, called Viscond…
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…
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…
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…
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022
Vitor Jeronymo, Guilherme Rosa, Surya Kallumadi +2
In this work we describe our submission to the product ranking task of the Amazon KDD Cup 2022. We rely on a receipt that showed to be effective in previous competitions: we focus…
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
Mirelle Bueno, Carlos Gemmell, Jeffrey Dalton +2
The ability to extrapolate, i.e., to make predictions on sequences that are longer than those presented as training examples, is a challenging problem for current deep learning mod…