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07/10/2023
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval
Recent work has explored Large Language Models (LLMs) to overcome the la...
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04/03/2023
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
The advent of multilingual language models has generated a resurgence of...
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03/28/2023
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval
This paper reports on a study of cross-lingual information retrieval (CL...
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01/04/2023
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval
Recently, InPars introduced a method to efficiently use large language m...
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12/12/2022
In Defense of Cross-Encoders for Zero-Shot Retrieval
Bi-encoders and cross-encoders are widely used in many state-of-the-art ...
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09/27/2022
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark
Robust 2004 is an information retrieval benchmark whose large number of ...
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08/09/2022
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022
In this work we describe our submission to the product ranking task of t...
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06/06/2022
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
Recent work has shown that small distilled language models are strong co...
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05/30/2022
