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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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04/12/2023
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide
Medical image segmentation is an increasingly popular area of research i...
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03/29/2023
Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams
The present study aims to explore the capabilities of Language Models (L...
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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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01/25/2023
ExaRanker: Explanation-Augmented Neural Ranker
Recent work has shown that inducing a large language model (LLM) to gene...
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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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12/19/2022
Visconde: Multi-document QA with GPT-3 and Neural Reranking
This paper proposes a question-answering system that can answer question...
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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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10/26/2022
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost
The widespread availability of search API's (both free and commercial) b...
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09/29/2022
Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge
Airway segmentation in computed tomography images can be used to analyze...
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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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09/22/2022
MonoByte: A Pool of Monolingual Byte-level Language Models
The zero-shot cross-lingual ability of models pretrained on multilingual...
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08/24/2022
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
The ability to extrapolate, i.e., to make predictions on sequences that ...
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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
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task
Recent work has shown that language models scaled to billions of paramet...
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09/04/2021
On the ability of monolingual models to learn language-agnostic representations
Pretrained multilingual models have become a de facto default approach f...
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08/31/2021
mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset
The MS MARCO ranking dataset has been widely used for training deep lear...
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05/14/2021
A cost-benefit analysis of cross-lingual transfer methods
An effective method for cross-lingual transfer is to fine-tune a bilingu...
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04/26/2021
Yes, BM25 is a Strong Baseline for Legal Case Retrieval
We describe our single submission to task 1 of COLIEE 2021. Our vanilla ...
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09/19/2020
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research
What are the latent questions on some textual data? In this work, we inv...
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08/20/2020
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data
In natural language processing (NLP), there is a need for more resources...
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08/20/2020
Lite Training Strategies for Portuguese-English and English-Portuguese Translation
Despite the widespread adoption of deep learning for machine translation...
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02/14/2020
Electricity Theft Detection with self-attention
In this work we propose a novel self-attention mechanism model to addres...
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01/14/2020
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural Networks
Hippocampus segmentation on magnetic resonance imaging (MRI) is of key i...
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09/23/2019
Portuguese Named Entity Recognition using BERT-CRF
Recent advances in language representation using neural networks have ma...
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02/12/2019
Extended 2D Volumetric Consensus Hippocampus Segmentation
Hippocampus segmentation plays a key role in diagnosing various brain di...
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04/13/2018