InPars-v2: Large Language Models as Efficient Dataset Generators for Information RetrievalVitor Jeronymo, Rodrigo Nogueira, Luiz Bonifacio et al.|arXiv (Cornell University)|2023Cited by 27
In Defense of Cross-Encoders for Zero-Shot RetrievalGuilherme J. M. Rosa, Rodrigo Nogueira, Luiz Bonifacio et al.|arXiv (Cornell University)|2022Cited by 6
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot RetrievalGuilherme Moraes Rosa, Rodrigo Nogueira, Luiz Bonifacio et al.|arXiv (Cornell University)|2022Cited by 6
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment TaskGuilherme Moraes Rosa, Rodrigo Nogueira, Hugo Abonizio et al.|arXiv (Cornell University)|2022Cited by 4
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information RetrievalJimmy Lin, Xinyu Zhang, David Alfonso-Hermelo et al.|arXiv (Cornell University)|2023Cited by 3