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Marcos V. Treviso
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- affiliation: University of Sao Paulo (USP), Institute of Mathematics and Computer Sciences, Brazil
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2020 – today
- 2024
- [c21]Marcos V. Treviso, Nuno Miguel Guerreiro, Sweta Agrawal, Ricardo Rei, José Pombal, Tânia Vaz, Helena Wu, Beatriz Silva, Daan van Stigt, André Martins:
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors. EMNLP (Findings) 2024: 15222-15239 - [c20]Hugo Pitorro, Pavlo Vasylenko, Marcos V. Treviso, André Martins:
How Effective Are State Space Models for Machine Translation? WMT 2024: 1107-1124 - [i18]Marcos V. Treviso, Nuno Miguel Guerreiro, Sweta Agrawal, Ricardo Rei, José Pombal, Tânia Vaz, Helena Wu, Beatriz Silva, Daan van Stigt, André F. T. Martins:
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors. CoRR abs/2406.19482 (2024) - [i17]Hugo Pitorro, Pavlo Vasylenko, Marcos V. Treviso, André F. T. Martins:
How Effective are State Space Models for Machine Translation? CoRR abs/2407.05489 (2024) - 2023
- [j2]Marcos V. Treviso, Ji-Ung Lee
, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11: 826-860 (2023) - [c19]Ricardo Rei
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics. ACL (2) 2023: 1089-1105 - [c18]Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins:
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. ACL (1) 2023: 15109-15126 - [c17]Ricardo Rei
Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task. WMT 2023: 841-848 - [i16]Ricardo Rei, Nuno Miguel Guerreiro, Marcos V. Treviso, Luísa Coheur, Alon Lavie, André F. T. Martins:
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics. CoRR abs/2305.11806 (2023) - [i15]Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins:
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. CoRR abs/2305.17075 (2023) - [i14]Ricardo Rei, Nuno Miguel Guerreiro, José Pombal, Daan van Stigt, Marcos V. Treviso, Luísa Coheur, José G. C. de Souza, André F. T. Martins:
Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task. CoRR abs/2309.11925 (2023) - 2022
- [j1]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. J. Mach. Learn. Res. 23: 257:1-257:74 (2022) - [c16]Marcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. SPNLP@ACL 2022: 67-81 - [c15]André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo M. Correia, Marcos V. Treviso, Pedro Henrique Martins, Tsvetomila Mihaylova:
DeepSPIN: Deep Structured Prediction for Natural Language Processing. EAMT 2022: 325-326 - [c14]Flávia de Souza Santos
A Framework to Semi-automated Usability Evaluations Processing Considering Users' Emotional Aspects. HCI (1) 2022: 419-438 - [c13]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. NeurIPS 2022 - [c12]Ricardo Rei, Marcos V. Treviso, Nuno Miguel Guerreiro, Chrysoula Zerva, Ana C. Farinha, Christine Maroti, José G. C. de Souza, Taisiya Glushkova, Duarte M. Alves, Luísa Coheur, Alon Lavie, André F. T. Martins:
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task. WMT 2022: 634-645 - [i13]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR abs/2204.10810 (2022) - [i12]Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz:
Efficient Methods for Natural Language Processing: A Survey. CoRR abs/2209.00099 (2022) - [i11]Ricardo Rei, Marcos V. Treviso, Nuno Miguel Guerreiro, Chrysoula Zerva, Ana C. Farinha
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task. CoRR abs/2209.06243 (2022) - 2021
- [c11]Marcos V. Treviso, Nuno Miguel Guerreiro, Ricardo Rei, André F. T. Martins:
IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task. Eval4NLP 2021: 133-145 - [i10]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. CoRR abs/2108.01988 (2021) - [i9]Marcos V. Treviso, António Góis, Patrick Fernandes, Erick R. Fonseca, André F. T. Martins:
Predicting Attention Sparsity in Transformers. CoRR abs/2109.12188 (2021) - 2020
- [c10]Marcos V. Treviso, André F. T. Martins:
The Explanation Game: Towards Prediction Explainability through Sparse Communication. BlackboxNLP@EMNLP 2020: 107-118 - [c9]Edresson Casanova, Marcos V. Treviso, Lilian Hübner, Sandra M. Aluísio:
Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese. LREC 2020: 2605-2614 - [c8]André F. T. Martins, António Farinhas, Marcos V. Treviso, Vlad Niculae, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Sparse and Continuous Attention Mechanisms. NeurIPS 2020 - [i8]Marcos V. Treviso, André F. T. Martins:
Towards Prediction Explainability through Sparse Communication. CoRR abs/2004.13876 (2020) - [i7]André F. T. Martins, Marcos V. Treviso, António Farinhas, Vlad Niculae, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Sparse and Continuous Attention Mechanisms. CoRR abs/2006.07214 (2020)
2010 – 2019
- 2019
- [c7]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, André F. T. Martins:
OpenKiwi: An Open Source Framework for Quality Estimation. ACL (3) 2019: 117-122 - [c6]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, António Góis, M. Amin Farajian
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task. WMT (3) 2019: 78-84 - [i6]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, André F. T. Martins:
OpenKiwi: An Open Source Framework for Quality Estimation. CoRR abs/1902.08646 (2019) - [i5]Fábio N. Kepler, Jonay Trénous, Marcos V. Treviso, Miguel Vera, António Góis, M. Amin Farajian, António V. Lopes, André F. T. Martins:
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task. CoRR abs/1907.10352 (2019) - 2018
- [c5]Marcos Vinícius Treviso, Sandra Maria Aluísio
Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests. PROPOR 2018: 409-418 - 2017
- [c4]Edilson Anselmo Corrêa Júnior, Vanessa Queiroz Marinho, Leandro Borges dos Santos, Thales Felipe Costa Bertaglia, Marcos Vinícius Treviso, Henrico Bertini Brum:
PELESent: Cross-Domain Polarity Classification Using Distant Supervision. BRACIS 2017: 49-54 - [c3]Marcos Vinícius Treviso, Christopher Shulby, Sandra M. Aluísio:
Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks. EACL (1) 2017: 315-325 - [c2]Nathan Hartmann, Erick Rocha Fonseca, Christopher Shulby, Marcos V. Treviso, Jéssica S. Rodrigues, Sandra M. Aluísio:
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks. STIL 2017: 122-131 - [c1]Marcos V. Treviso, Christopher Shulby, Sandra M. Aluísio:
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts. STIL 2017: 151-160 - [i4]Edilson Anselmo Corrêa Júnior, Vanessa Q. Marinho, Leandro Borges dos Santos, Thales Felipe Costa Bertaglia, Marcos V. Treviso, Henrico Bertini Brum:
PELESent: Cross-domain polarity classification using distant supervision. CoRR abs/1707.02657 (2017) - [i3]Marcos V. Treviso, Christopher Dane Shulby, Sandra Maria Aluísio:
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts. CoRR abs/1708.04704 (2017) - [i2]Nathan Hartmann, Erick R. Fonseca, Christopher Shulby, Marcos V. Treviso, Jéssica S. Rodrigues, Sandra M. Aluísio:
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks. CoRR abs/1708.06025 (2017) - 2016
- [i1]Marcos Vinícius Treviso, Christopher Shulby, Sandra Maria Aluísio:
Sentence Segmentation in Narrative Transcripts from Neuropsycological Tests using Recurrent Convolutional Neural Networks. CoRR abs/1610.00211 (2016)
Coauthor Index
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