Vitor Jeronymo
According to our database1,
Vitor Jeronymo
authored at least 9 papers
between 2022 and 2023.
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Bibliography
2023
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.
CoRR, 2023
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval.
CoRR, 2023
2022
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022.
CoRR, 2022
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval.
CoRR, 2022
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task.
CoRR, 2022
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval.
Proceedings of the Thirty-First Text REtrieval Conference, 2022
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval.
Proceedings of the Thirty-First Text REtrieval Conference, 2022