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NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval.

, , and . TREC, volume 500-338 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)

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InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval., , , , , , and . CoRR, (2023)Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task., , , , , and . CoRR, (2022)Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval., , , , , , , , , and 1 other author(s). TREC, volume 500-338 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark., , , and . CoRR, (2022)InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval., , , , , and . CoRR, (2023)No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval., , , , , , and . CoRR, (2022)A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022., , , , and . CoRR, (2022)NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval., , and . CoRR, (2023)In Defense of Cross-Encoders for Zero-Shot Retrieval., , , , , , and . CoRR, (2022)Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval., , , , , , , , , and 1 other author(s). CoRR, (2023)