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cs.CL2022★ 1 cited
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark
Vitor Jeronymo, Mauricio Nascimento, Roberto Lotufo +1
Robust 2004 is an information retrieval benchmark whose large number of judgments per query make it a reliable evaluation dataset. In this paper, we present mRobust04, a multilingu…
cs.CL2022★ 4 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…