Sentence Segmentation in Narrative Transcripts from Neuropsycological Tests using Recurrent Convolutional Neural Networks. - Marcos Vinícius Treviso; Christopher Shulby; Sandra Maria Aluísio (CoRR, 2016)

PELESent: Cross-Domain Polarity Classification Using Distant Supervision. - Edilson Anselmo Corrêa Júnior; Vanessa Queiroz Marinho; Leandro Borges dos Santos; Thales Felipe Costa Bertaglia; Marcos Vinícius Treviso; Henrico Bertini Brum (BRACIS, 2017)

Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks. - Marcos Vinícius Treviso; Christopher Shulby; Sandra M. Aluísio (EACL (1), 2017)

Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks. - Nathan Hartmann; Erick Rocha Fonseca; Christopher Shulby; Marcos V. Treviso; Jéssica S. Rodrigues; Sandra M. Aluísio (STIL, 2017)

Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts. - Marcos V. Treviso; Christopher Shulby; Sandra M. Aluísio (STIL, 2017)

Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests. - Marcos Vinícius Treviso; Sandra Maria Aluísio (PROPOR, 2018)

OpenKiwi: An Open Source Framework for Quality Estimation. - Fábio N. Kepler; Jonay Trénous; Marcos V. Treviso; Miguel Vera; André F. T. Martins (ACL (3), 2019)

Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task. - Fábio N. Kepler; Jonay Trénous; Marcos V. Treviso; Miguel Vera; António Góis; M. Amin Farajian; António V. Lopes; André F. T. Martins (WMT (3), 2019)

The Explanation Game: Towards Prediction Explainability through Sparse Communication. - Marcos V. Treviso; André F. T. Martins (BlackboxNLP@EMNLP, 2020)

Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese. - Edresson Casanova; Marcos V. Treviso; Lilian Hübner; Sandra M. Aluísio (LREC, 2020)

Sparse and Continuous Attention Mechanisms. - André F. T. Martins; António Farinhas; Marcos V. Treviso; Vlad Niculae; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (NeurIPS, 2020)

Towards Prediction Explainability through Sparse Communication. - Marcos V. Treviso; André F. T. Martins (CoRR, 2020)

IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task. - Marcos V. Treviso; Nuno Miguel Guerreiro; Ricardo Rei; André F. T. Martins (Eval4NLP, 2021)

Predicting Attention Sparsity in Transformers. - Marcos V. Treviso; António Góis; Patrick Fernandes; Erick Rocha Fonseca; André F. T. Martins (SPNLP@ACL, 2022)

DeepSPIN: Deep Structured Prediction for Natural Language Processing. - André F. T. Martins; Ben Peters; Chrysoula Zerva; Chunchuan Lyu; Gonçalo M. Correia; Marcos V. Treviso; Pedro Henrique Martins; Tsvetomila Mihaylova (EAMT, 2022)

A Framework to Semi-automated Usability Evaluations Processing Considering Users' Emotional Aspects. - Flávia de Souza Santos; Marcos Vinícius Treviso; Sandra Pereira Gama; Renata Pontin de Mattos Fortes (HCI (1), 2022)

Learning to Scaffold: Optimizing Model Explanations for Teaching. - Patrick Fernandes; Marcos V. Treviso; Danish Pruthi; André F. T. Martins; Graham Neubig (NeurIPS, 2022)

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task. - 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 (WMT, 2022)

Efficient Methods for Natural Language Processing: A Survey. - 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; et al. (CoRR, 2022)

Sparse Continuous Distributions and Fenchel-Young Losses. - André F. T. Martins; Marcos V. Treviso; António Farinhas; Pedro M. Q. Aguiar; Mário A. T. Figueiredo; Mathieu Blondel; Vlad Niculae (J. Mach. Learn. Res., 2022)

The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics. - Ricardo Rei; Nuno Miguel Guerreiro; Marcos V. Treviso; Luísa Coheur; Alon Lavie; André F. T. Martins (ACL (2), 2023)

CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. - Marcos V. Treviso; Alexis Ross; Nuno Miguel Guerreiro; André F. T. Martins (ACL (1), 2023)

Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task. - Ricardo Rei; Nuno Miguel Guerreiro; José Pombal; Daan van Stigt; Marcos V. Treviso; Luísa Coheur; José G. C. de Souza; André F. T. Martins (WMT, 2023)

Efficient Methods for Natural Language Processing: A Survey. - 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; et al. (Trans. Assoc. Comput. Linguistics, 2023)

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors. - 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 (EMNLP (Findings), 2024)

How Effective Are State Space Models for Machine Translation? - Hugo Pitorro; Pavlo Vasylenko; Marcos V. Treviso; André Martins (WMT, 2024)

How Effective are State Space Models for Machine Translation? - Hugo Pitorro; Pavlo Vasylenko; Marcos V. Treviso; André F. T. Martins (CoRR, 2024)

LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models. - Hugo Pitorro; Marcos Vinícius Treviso (ACL (1), 2025)

AdaSplash: Adaptive Sparse Flash Attention. - Nuno Gonçalves; Marcos V. Treviso; André F. T. Martins (CoRR, 2025)

Long-Context Generalization with Sparse Attention. - Pavlo Vasylenko; Marcos Vinícius Treviso; André F. T. Martins (CoRR, 2025)