Rodrigo Frassetto Nogueira

Orcid: 0000-0002-2600-6035

According to our database1, Rodrigo Frassetto Nogueira authored at least 77 papers between 2015 and 2024.

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Bibliography

2024
Sabiá-2: A New Generation of Portuguese Large Language Models.
CoRR, 2024

2023
Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams.
CoRR, 2023

Predictive Authoring for Brazilian Portuguese Augmentative and Alternative Communication.
CoRR, 2023

InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.
CoRR, 2023

Sabiá: Portuguese Large Language Models.
CoRR, 2023

Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams.
CoRR, 2023

ExaRanker: Explanation-Augmented Neural Ranker.
CoRR, 2023

InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval.
CoRR, 2023

A Personalized Dense Retrieval Framework for Unified Information Access.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

ExaRanker: Synthetic Explanations Improve Neural Rankers.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Neuro-Symbolic Representations for Information Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Augmentative and Alternative Communication Synthetic Corpus for Brazilian Portuguese.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

Visconde: Multi-document QA with GPT-3 and Neural Reranking.
Proceedings of the Advances in Information Retrieval, 2023

Exploring Text Decoding Methods for Portuguese Legal Text Generation.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

[inline-graphic not available: see fulltext] Sabiá: Portuguese Large Language Models.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

BLUEX: A Benchmark Based on Brazilian Leading Universities Entrance eXams.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
In Defense of Cross-Encoders for Zero-Shot Retrieval.
CoRR, 2022

mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark.
CoRR, 2022

Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models.
CoRR, 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

InPars: Data Augmentation for Information Retrieval using Large Language Models.
CoRR, 2022

Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization.
Proceedings of the Thirty-First Text REtrieval Conference, 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

Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

InPars: Unsupervised Dataset Generation for Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost.
Proceedings of the Third International Conference on Design of Experimental Search & Information REtrieval Systems, 2022

Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents.
Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

MonoByte: A Pool of Monolingual Byte-level Language Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Pretrained Transformers for Text Ranking: BERT and Beyond
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02181-7, 2021

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting.
ACM Trans. Inf. Syst., 2021

On the ability of monolingual models to learn language-agnostic representations.
CoRR, 2021

mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset.
CoRR, 2021

A cost-benefit analysis of cross-lingual transfer methods.
CoRR, 2021

Yes, BM25 is a Strong Baseline for Legal Case Retrieval.
CoRR, 2021

Investigating the Limitations of the Transformers with Simple Arithmetic Tasks.
CoRR, 2021

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations.
CoRR, 2021

The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models.
CoRR, 2021

Chatty Goose: A Python Framework for Conversational Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pretrained Transformers for Text Ranking: BERT and Beyond.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

To tune or not to tune?: zero-shot models for legal case entailment.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Scientific Claim Verification with VerT5erini.
Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis, 2021

2020
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection.
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Navigation-based candidate expansion and pretrained language models for citation recommendation.
Scientometrics, 2020

Can questions summarize a corpus? Using question generation for characterizing COVID-19 research.
CoRR, 2020

PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data.
CoRR, 2020

Query Reformulation using Query History for Passage Retrieval in Conversational Search.
CoRR, 2020

Rapidly Bootstrapping a Question Answering Dataset for COVID-19.
CoRR, 2020

Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned.
CoRR, 2020

Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models.
CoRR, 2020

TTTTTackling WinoGrande Schemas.
CoRR, 2020

Document Ranking with a Pretrained Sequence-to-Sequence Model.
CoRR, 2020

Electricity Theft Detection with self-attention.
CoRR, 2020

Lite Training Strategies for Portuguese-English and English-Portuguese Translation.
Proceedings of the Fifth Conference on Machine Translation, 2020

H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset.
Proceedings of the First Workshop on Scholarly Document Processing, 2020

Early Exiting BERT for Efficient Document Ranking.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Document Ranking with a Pretrained Sequence-to-Sequence Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

BERTimbau: Pretrained BERT Models for Brazilian Portuguese.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Evaluating Pretrained Transformer Models for Citation Recommendation.
Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 42nd European Conference on Information Retrieval, 2020

2019
Multi-Stage Document Ranking with BERT.
CoRR, 2019

Portuguese Named Entity Recognition using BERT-CRF.
CoRR, 2019

Document Expansion by Query Prediction.
CoRR, 2019

Passage Re-ranking with BERT.
CoRR, 2019

2018
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection.
CoRR, 2018

New York University at TREC 2018 Complex Answer Retrieval Track.
Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

2017
Task-Oriented Query Reformulation with Reinforcement Learning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Fingerprint Liveness Detection Using Convolutional Neural Networks.
IEEE Trans. Inf. Forensics Secur., 2016

WebNav: A New Large-Scale Task for Natural Language based Sequential Decision Making.
CoRR, 2016

RioBusData: Outlier Detection in Bus Routes of Rio de Janeiro.
CoRR, 2016

End-to-End Goal-Driven Web Navigation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns.
CoRR, 2015


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