27 citations · 83 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
InPars: Data Augmentation for Information Retrieval using Large Language Models
Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee +1
The information retrieval community has recently witnessed a revolution due to large pretrained transformer models. Another key ingredient for this revolution was the MS MARCO data…
mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset
Luiz Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio +4
The MS MARCO ranking dataset has been widely used for training deep learning models for IR tasks, achieving considerable effectiveness on diverse zero-shot scenarios. However, this…
A cost-benefit analysis of cross-lingual transfer methods
Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Leandro Rodrigues de Souza +2
An effective method for cross-lingual transfer is to fine-tune a bilingual or multilingual model on a supervised dataset in one language and evaluating it on another language in a…