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2020 – today
- 2024
[j4]Fábio C. de Souza
, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo:
BERT models for Brazilian Portuguese: Pretraining, evaluation and tokenization analysis. Appl. Soft Comput. 149(Part A): 110901 (2024)- [c35]Leandro Rodrigues de Souza, Thales Sales Almeida, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Measuring Cross-lingual Transfer in Bytes. NAACL-HLT 2024: 7526-7537 - [i57]Thales Sales Almeida, Hugo Queiroz Abonizio, Rodrigo Frassetto Nogueira, Ramon Pires:
Sabiá-2: A New Generation of Portuguese Large Language Models. CoRR abs/2403.09887 (2024) - [i56]Mirelle Bueno, Eduardo Seiti de Oliveira, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Jayr Alencar Pereira:
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native Speakers. CoRR abs/2404.06976 (2024) - [i55]Leandro Rodrigues de Souza, Thales Sales Almeida, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Measuring Cross-lingual Transfer in Bytes. CoRR abs/2404.08191 (2024) - [i54]Leandro Carísio Fernandes, Gustavo Bartz Guedes, Thiago Soares Laitz, Thales Sales Almeida, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Jayr Alencar Pereira:
SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Section. CoRR abs/2408.16444 (2024) - 2023
- [c34]Kenzo Miranda Sakiyama, Raphael Montanari, Roseval Malaquias Junior, Rodrigo Frassetto Nogueira, Roseli A. F. Romero:
Exploring Text Decoding Methods for Portuguese Legal Text Generation. BRACIS (1) 2023: 63-77 - [c33]Ramon Pires, Hugo Queiroz Abonizio, Thales Sales Almeida, Rodrigo Frassetto Nogueira:
[inline-graphic not available: see fulltext] Sabiá: Portuguese Large Language Models. BRACIS (3) 2023: 226-240 - [c32]Thales Sales Almeida, Thiago Laitz, Giovana K. Bonás, Rodrigo Frassetto Nogueira:
BLUEX: A Benchmark Based on Brazilian Leading Universities Entrance eXams. BRACIS (1) 2023: 337-347 - [c31]Jayr Alencar Pereira, Robson do Nascimento Fidalgo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Visconde: Multi-document QA with GPT-3 and Neural Reranking. ECIR (2) 2023: 534-543 - [c30]Jayr Alencar Pereira, Rodrigo Frassetto Nogueira, Cleber Zanchettin, Robson N. Fidalgo:
An Augmentative and Alternative Communication Synthetic Corpus for Brazilian Portuguese. ICALT 2023: 202-206 - [c29]Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Frassetto Nogueira, Hamed Zamani:
A Personalized Dense Retrieval Framework for Unified Information Access. SIGIR 2023: 121-130 - [c28]Fernando Ferraretto, Thiago Laitz, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
ExaRanker: Synthetic Explanations Improve Neural Rankers. SIGIR 2023: 2409-2414 - [c27]Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeffrey Dalton, Jian-Yun Nie, Rodrigo Frassetto Nogueira:
Neuro-Symbolic Representations for Information Retrieval. SIGIR 2023: 3436-3439 - [i53]Vitor Jeronymo, Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira:
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval. CoRR abs/2301.01820 (2023) - [i52]Fernando Ferraretto, Thiago Laitz, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
ExaRanker: Explanation-Augmented Neural Ranker. CoRR abs/2301.10521 (2023) - [i51]Vitor Jeronymo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval. CoRR abs/2303.16145 (2023) - [i50]Desnes Nunes, Ricardo Primi, Ramon Pires, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams. CoRR abs/2303.17003 (2023) - [i49]Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. CoRR abs/2304.01019 (2023) - [i48]Ramon Pires, Hugo Queiroz Abonizio, Thales Sales Almeida, Rodrigo Frassetto Nogueira:
Sabiá: Portuguese Large Language Models. CoRR abs/2304.07880 (2023) - [i47]Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Frassetto Nogueira, Hamed Zamani:
A Personalized Dense Retrieval Framework for Unified Information Access. CoRR abs/2304.13654 (2023) - [i46]Hugo Queiroz Abonizio, Luiz Henrique Bonifacio, Vitor Jeronymo, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira:
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval. CoRR abs/2307.04601 (2023) - [i45]Thales Sales Almeida, Thiago Laitz, Giovana K. Bonás, Rodrigo Frassetto Nogueira:
BLUEX: A benchmark based on Brazilian Leading Universities Entrance eXams. CoRR abs/2307.05410 (2023) - [i44]Jayr Alencar Pereira, Rodrigo Frassetto Nogueira, Cleber Zanchettin, Robson do Nascimento Fidalgo:
Predictive Authoring for Brazilian Portuguese Augmentative and Alternative Communication. CoRR abs/2308.09497 (2023) - [i43]Ramon Pires, Thales Sales Almeida, Hugo Queiroz Abonizio, Rodrigo Frassetto Nogueira:
Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams. CoRR abs/2311.14169 (2023) - 2022
- [c26]Hugo Queiroz Abonizio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
MonoByte: A Pool of Monolingual Byte-level Language Models. COLING 2022: 3506-3513 - [c25]Ramon Pires, Fábio C. de Souza, Guilherme Moraes Rosa, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents. DAS 2022: 83-95 - [c24]Thales Sales Almeida, Thiago Laitz, João Seródio, Luiz Henrique Bonifacio, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost. DESIRES 2022: 40-52 - [c23]Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira:
InPars: Unsupervised Dataset Generation for Information Retrieval. SIGIR 2022: 2387-2392 - [c22]Xueguang Ma, Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin:
Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. SIGIR 2022: 3187-3197 - [c21]Vitor Jeronymo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval. TREC 2022 - [c20]Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang:
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. TREC 2022 - [c19]Jayr Alencar Pereira, Robson do Nascimento Fidalgo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Using Neural Reranking and GPT-3 for Social Media Disaster Content Summarization. TREC 2022 - [i42]Ramon Pires, Fábio C. de Souza, Guilherme Moraes Rosa, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents. CoRR abs/2201.05658 (2022) - [i41]Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment. CoRR abs/2202.03120 (2022) - [i40]Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira:
InPars: Data Augmentation for Information Retrieval using Large Language Models. CoRR abs/2202.05144 (2022) - [i39]Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task. CoRR abs/2205.15172 (2022) - [i38]Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval. CoRR abs/2206.02873 (2022) - [i37]Vitor Jeronymo, Guilherme Moraes Rosa, Surya Kallumadi, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022. CoRR abs/2208.06264 (2022) - [i36]Mirelle Bueno, Carlos Gemmel, Jeffrey Dalton, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models. CoRR abs/2208.11445 (2022) - [i35]Hugo Queiroz Abonizio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
MonoByte: A Pool of Monolingual Byte-level Language Models. CoRR abs/2209.11035 (2022) - [i34]Vitor Jeronymo, Mauricio Nascimento, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark. CoRR abs/2209.13738 (2022) - [i33]Thales Sales Almeida, Thiago Laitz, João Seródio, Luiz Henrique Bonifacio, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost. CoRR abs/2210.14837 (2022) - [i32]Guilherme Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
In Defense of Cross-Encoders for Zero-Shot Retrieval. CoRR abs/2212.06121 (2022) - [i31]Jayr Alencar Pereira, Robson do Nascimento Fidalgo, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Visconde: Multi-document QA with GPT-3 and Neural Reranking. CoRR abs/2212.09656 (2022) - 2021
- [b1]Jimmy Lin, Rodrigo Frassetto Nogueira, Andrew Yates:
Pretrained Transformers for Text Ranking: BERT and Beyond. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01053-8, pp. 1-325 - [j3]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting. ACM Trans. Inf. Syst. 39(4): 48:1-48:29 (2021) - [c18]Ronak Pradeep, Xueguang Ma, Rodrigo Frassetto Nogueira, Jimmy Lin:
Scientific Claim Verification with VerT5erini. LOUHI@EACL 2021: 94-103 - [c17]Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
To tune or not to tune?: zero-shot models for legal case entailment. ICAIL 2021: 295-300 - [c16]Ronak Pradeep, Xueguang Ma, Rodrigo Frassetto Nogueira, Jimmy Lin:
Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. SIGIR 2021: 2066-2070 - [c15]Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira:
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. SIGIR 2021: 2356-2362 - [c14]Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin:
Chatty Goose: A Python Framework for Conversational Search. SIGIR 2021: 2521-2525 - [c13]Andrew Yates, Rodrigo Frassetto Nogueira, Jimmy Lin:
Pretrained Transformers for Text Ranking: BERT and Beyond. SIGIR 2021: 2666-2668 - [c12]Andrew Yates, Rodrigo Frassetto Nogueira, Jimmy Lin:
Pretrained Transformers for Text Ranking: BERT and Beyond. WSDM 2021: 1154-1156 - [i30]Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin:
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. CoRR abs/2101.05667 (2021) - [i29]Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira:
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR abs/2102.10073 (2021) - [i28]Rodrigo Frassetto Nogueira, Zhiying Jiang, Jimmy Lin:
Investigating the Limitations of the Transformers with Simple Arithmetic Tasks. CoRR abs/2102.13019 (2021) - [i27]Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Yes, BM25 is a Strong Baseline for Legal Case Retrieval. CoRR abs/2105.05686 (2021) - [i26]Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
A cost-benefit analysis of cross-lingual transfer methods. CoRR abs/2105.06813 (2021) - [i25]Luiz Henrique Bonifacio, Israel Campiotti, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset. CoRR abs/2108.13897 (2021) - [i24]Leandro Rodrigues de Souza, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo:
On the ability of monolingual models to learn language-agnostic representations. CoRR abs/2109.01942 (2021) - 2020
- [j2]Rodrigo Frassetto Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Navigation-based candidate expansion and pretrained language models for citation recommendation. Scientometrics 125(3): 3001-3016 (2020) - [c11]Rodrigo Frassetto Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Evaluating Pretrained Transformer Models for Citation Recommendation. BIR@ECIR 2020: 89-100 - [c10]Fábio Souza, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo:
BERTimbau: Pretrained BERT Models for Brazilian Portuguese. BRACIS 2020: 403-417 - [c9]Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models. COLING 2020: 3449-3453 - [c8]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP 2020: 31-41 - [c7]Ji Xin, Rodrigo Frassetto Nogueira, Yaoliang Yu, Jimmy Lin:
Early Exiting BERT for Efficient Document Ranking. SustaiNLP@EMNLP 2020: 83-88 - [c6]Rodrigo Frassetto Nogueira, Zhiying Jiang, Ronak Pradeep, Jimmy Lin:
Document Ranking with a Pretrained Sequence-to-Sequence Model. EMNLP (Findings) 2020: 708-718 - [c5]Ronak Pradeep, Xueguang Ma, Xinyu Zhang, Hang Cui, Ruizhou Xu, Rodrigo Frassetto Nogueira, Jimmy Lin:
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. TREC 2020 - [c4]Alexandre Lopes, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Hélio Pedrini:
Lite Training Strategies for Portuguese-English and English-Portuguese Translation. WMT@EMNLP 2020: 833-840 - [p1]Kexin Huang, Rodrigo Frassetto Nogueira:
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection. Precision Health and Medicine 2020: 187-191 - [i23]Rodrigo Frassetto Nogueira, Zhiying Jiang, Kyunghyun Cho, Jimmy Lin:
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation. CoRR abs/2001.08687 (2020) - [i22]Paulo Finardi, Israel Campiotti, Gustavo Plensack, Rafael Derradi de Souza, Rodrigo Frassetto Nogueira, Gustavo R. Pinheiro, Roberto de Alencar Lotufo:
Electricity Theft Detection with self-attention. CoRR abs/2002.06219 (2020) - [i21]Rodrigo Frassetto Nogueira, Zhiying Jiang, Jimmy Lin:
Document Ranking with a Pretrained Sequence-to-Sequence Model. CoRR abs/2003.06713 (2020) - [i20]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
TTTTTackling WinoGrande Schemas. CoRR abs/2003.08380 (2020) - [i19]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models. CoRR abs/2004.01909 (2020) - [i18]Edwin Zhang, Nikhil Gupta, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Jimmy Lin:
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned. CoRR abs/2004.05125 (2020) - [i17]Raphael Tang, Rodrigo Frassetto Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin:
Rapidly Bootstrapping a Question Answering Dataset for COVID-19. CoRR abs/2004.11339 (2020) - [i16]Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Query Reformulation using Query History for Passage Retrieval in Conversational Search. CoRR abs/2005.02230 (2020) - [i15]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. CoRR abs/2007.07846 (2020) - [i14]Alexandre Lopes, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Hélio Pedrini:
Lite Training Strategies for Portuguese-English and English-Portuguese Translation. CoRR abs/2008.08769 (2020) - [i13]Diedre Carmo, Marcos Piau, Israel Campiotti, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo:
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data. CoRR abs/2008.09144 (2020) - [i12]Gabriela Surita, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo:
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research. CoRR abs/2009.09290 (2020) - [i11]Jimmy Lin, Rodrigo Frassetto Nogueira, Andrew Yates:
Pretrained Transformers for Text Ranking: BERT and Beyond. CoRR abs/2010.06467 (2020) - [i10]Ronak Pradeep, Xueguang Ma, Rodrigo Frassetto Nogueira, Jimmy Lin:
Scientific Claim Verification with VERT5ERINI. CoRR abs/2010.11930 (2020)
2010 – 2019
- 2019
- [i9]Rodrigo Frassetto Nogueira, Kyunghyun Cho:
Passage Re-ranking with BERT. CoRR abs/1901.04085 (2019) - [i8]Rodrigo Frassetto Nogueira, Wei Yang, Jimmy Lin, Kyunghyun Cho:
Document Expansion by Query Prediction. CoRR abs/1904.08375 (2019) - [i7]Fábio Souza, Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo:
Portuguese Named Entity Recognition using BERT-CRF. CoRR abs/1909.10649 (2019) - [i6]Rodrigo Frassetto Nogueira, Wei Yang, Kyunghyun Cho, Jimmy Lin:
Multi-Stage Document Ranking with BERT. CoRR abs/1910.14424 (2019) - 2018
- [c3]Rodrigo Frassetto Nogueira, Kyunghyun Cho:
New York University at TREC 2018 Complex Answer Retrieval Track. TREC 2018 - [i5]Kexin Huang, Rodrigo Frassetto Nogueira:
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection. CoRR abs/1809.09143 (2018) - 2017
- [c2]Rodrigo Frassetto Nogueira, Kyunghyun Cho:
Task-Oriented Query Reformulation with Reinforcement Learning. EMNLP 2017: 574-583 - [i4]Rodrigo Frassetto Nogueira, Kyunghyun Cho:
Task-Oriented Query Reformulation with Reinforcement Learning. CoRR abs/1704.04572 (2017) - 2016
- [j1]Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Rubens Campos Machado:
Fingerprint Liveness Detection Using Convolutional Neural Networks. IEEE Trans. Inf. Forensics Secur. 11(6): 1206-1213 (2016) - [c1]Rodrigo Frassetto Nogueira, Kyunghyun Cho:
End-to-End Goal-Driven Web Navigation. NIPS 2016: 1903-1911 - [i3]Aline Bessa, Fernando de Mesentier Silva, Rodrigo Frassetto Nogueira, Enrico Bertini, Juliana Freire:
RioBusData: Outlier Detection in Bus Routes of Rio de Janeiro. CoRR abs/1601.06128 (2016) - [i2]Rodrigo Frassetto Nogueira, Kyunghyun Cho:
WebNav: A New Large-Scale Task for Natural Language based Sequential Decision Making. CoRR abs/1602.02261 (2016) - 2015
- [i1]Rodrigo Frassetto Nogueira, Roberto de Alencar Lotufo, Rubens Campos Machado:
Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns. CoRR abs/1508.00537 (2015)
Coauthor Index
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