Navigating in Manhattan: 3D orientation from video without correspondences. - André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (ICIP (1), 2003)

Design and Implementation of a Semantic Search Engine for Portuguese. - Carlos Amaral; Dominique Laurent 003; André F. T. Martins; Afonso Mendes; Cláudia Pinto (LREC, 2004)

Priberam's Question Answering System for Portuguese. - Carlos Amaral; Helena Figueira; André F. T. Martins; Afonso Mendes; Pedro Mendes 004; Cláudia Pinto (CLEF, 2005)

Orientation in Manhattan: Equiprojective Classes and Sequential Estimation. - André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Priberam's Question Answering System in a Cross-Language Environment. - Adán Cassan; Helena Figueira; André F. T. Martins; Afonso Mendes; Pedro Mendes 004; Cláudia Pinto; Daniel Vidal (CLEF (Working Notes), 2006)

Web-Based Support for Resource-Effective E-Learning. - Maria Alexandra Rentroia-Bonito; Frederico C. Figueiredo; André F. T. Martins; Vitor Fernandes; Joaquim A. Jorge (WEBIST (2), 2006)

An integrated evaluation method for e-learning: a case study. - Maria Alexandra Rentroia-Bonito; Frederico C. Figueiredo; André F. T. Martins; Joaquim A. Jorge; Claude Ghaoui (Interact. Technol. Smart Educ., 2006)

Priberam's Question Answering System in QA@CLEF 2007. - Carlos Amaral; Adán Cassan; Helena Figueira; André F. T. Martins; Afonso Mendes; Pedro Mendes 004; Cláudia Pinto; Daniel Vidal (CLEF (Working Notes), 2007)

Priberam's Question Answering system in QA@CLEF 2008. - Carlos Amaral; Adán Cassan; Helena Figueira; André F. T. Martins; Afonso Mendes; Pedro Mendes 004; José Pina; Cláudia Pinto (CLEF (Working Notes), 2008)

Stacking Dependency Parsers. - André F. T. Martins; Dipanjan Das 001; Noah A. Smith; Eric P. Xing (EMNLP, 2008)

Nonextensive entropic kernels. - André F. T. Martins; Mário A. T. Figueiredo; Pedro M. Q. Aguiar; Noah A. Smith; Eric P. Xing (ICML, 2008)

Tsallis kernels on measures. - André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (ITW, 2008)

Nonextensive Generalizations of the Jensen-Shannon Divergence - André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (CoRR, 2008)

Concise Integer Linear Programming Formulations for Dependency Parsing. - André F. T. Martins; Noah A. Smith; Eric P. Xing (ACL/IJCNLP, 2009)

Polyhedral outer approximations with application to natural language parsing. - André F. T. Martins; Noah A. Smith; Eric P. Xing (ICML, 2009)

Nonextensive Information Theoretic Kernels on Measures. - André F. T. Martins; Noah A. Smith; Eric P. Xing; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (J. Mach. Learn. Res., 2009)

Turbo Parsers: Dependency Parsing by Approximate Variational Inference. - André F. T. Martins; Noah A. Smith; Eric P. Xing; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (EMNLP, 2010)

Combining free energy score spaces with information theoretic kernels: Application to scene classification. - Manuele Bicego; Alessandro Perina; Vittorio Murino; André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (ICIP, 2010)

2D Shape Recognition Using Information Theoretic Kernels. - Manuele Bicego; André Filipe Torres Martins; Vittorio Murino; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (ICPR, 2010)

Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. - André F. T. Martins; Manuele Bicego; Vittorio Murino; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (SSPR/SPR, 2010)

Dual Decomposition with Many Overlapping Components. - André F. T. Martins; Noah A. Smith; Mário A. T. Figueiredo; Pedro M. Q. Aguiar (EMNLP, 2011)

Structured Sparsity in Structured Prediction. - André F. T. Martins; Noah A. Smith; Mário A. T. Figueiredo; Pedro M. Q. Aguiar (EMNLP, 2011)

An Augmented Lagrangian Approach to Constrained MAP Inference. - André F. T. Martins; Mário A. T. Figueiredo; Pedro M. Q. Aguiar; Noah A. Smith; Eric P. Xing (ICML, 2011)

Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels. - Manuele Bicego; Aydin Ulas; Peter J. Schüffler; Umberto Castellani; Vittorio Murino; André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (PRIB, 2011)

Online Learning of Structured Predictors with Multiple Kernels. - André Filipe Torres Martins; Noah A. Smith; Eric P. Xing; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (AISTATS, 2011)

Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications. - André F. T. Martins; Mário A. T. Figueiredo; Noah A. Smith (HLT-NAACL, 2012)

An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints. - Dipanjan Das 001; André F. T. Martins; Noah A. Smith (*SEM@NAACL-HLT, 2012)

Alternating Directions Dual Decomposition - André F. T. Martins; Mário A. T. Figueiredo; Pedro M. Q. Aguiar; Noah A. Smith; Eric P. Xing (CoRR, 2012)

Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning. - Miguel B. Almeida; André F. T. Martins (ACL (1), 2013)

Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers. - André F. T. Martins; Miguel B. Almeida; Noah A. Smith (ACL (2), 2013)

Linguistic structure prediction with the sparseptron. - Noah A. Smith; André F. T. Martins (XRDS, 2013)

Combining information theoretic kernels with generative embeddings for classification. - Manuele Bicego; Aydin Ulas; Umberto Castellani; Alessandro Perina; Vittorio Murino; André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (Neurocomputing, 2013)

On the Combination of Information-Theoretic Kernels with Generative Embeddings. - Pedro M. Q. Aguiar; Manuele Bicego; Umberto Castellani; Mário A. T. Figueiredo; André F. T. Martins; Vittorio Murino; Alessandro Perina; Aydin Ulas (Similarity-Based Pattern Analysis and Recognition, 2013)

A Joint Model for Quotation Attribution and Coreference Resolution. - Mariana S. C. Almeida; Miguel B. Almeida; André F. T. Martins (EACL, 2014)

Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese. - Miguel B. Almeida; Mariana S. C. Almeida; André F. T. Martins; Helena Figueira; Pedro Mendes 004; Cláudia Pinto (LREC, 2014)

Priberam: A Turbo Semantic Parser with Second Order Features. - André F. T. Martins; Mariana S. C. Almeida (SemEval@COLING, 2014)

Frame-Semantic Parsing. - Dipanjan Das 001; Desai Chen; André F. T. Martins; Nathan Schneider 001; Noah A. Smith (Comput. Linguistics, 2014)

Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies. - Mariana S. C. Almeida; Cláudia Pinto; Helena Figueira; Pedro Mendes 004; André F. T. Martins (ACL (1), 2015)

Parsing as Reduction. - Daniel Fernández-González; André F. T. Martins (ACL (1), 2015)

Transferring Coreference Resolvers with Posterior Regularization. - André F. T. Martins (ACL (1), 2015)

Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data. - Mariana S. C. Almeida; André F. T. Martins (SemEval@NAACL-HLT, 2015)

AD3: alternating directions dual decomposition for MAP inference in graphical models. - André F. T. Martins; Mário A. T. Figueiredo; Pedro M. Q. Aguiar; Noah A. Smith; Eric P. Xing (J. Mach. Learn. Res., 2015)

Jointly Learning to Embed and Predict with Multiple Languages. - Daniel C. Ferreira; André F. T. Martins; Mariana S. C. Almeida (ACL (1), 2016)

Semi-Supervised Learning of Sequence Models with Method of Moments. - Zita Marinho; André F. T. Martins; Shay B. Cohen; Noah A. Smith (EMNLP, 2016)

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification. - André F. T. Martins; Ramón Fernandez Astudillo (ICML, 2016)

SUMMA at TAC Knowledge Base Population Task 2016. - Peteris Paikens; Guntis Barzdins; Afonso Mendes; Daniel C. Ferreira; Samuel Broscheit; Mariana S. C. Almeida; Sebastião Miranda; David Nogueira; Pedro Balage; André F. T. Martins (TAC, 2016)

Unbabel's Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task. - André F. T. Martins; Ramón Fernandez Astudillo; Chris Hokamp; Fábio N. Kepler (WMT, 2016)

Learning What's Easy: Fully Differentiable Neural Easy-First Taggers. - André F. T. Martins; Julia Kreutzer (EMNLP, 2017)

Unbabel's Participation in the WMT17 Translation Quality Estimation Shared Task. - André F. T. Martins; Fábio N. Kepler; José L. Monteiro (WMT, 2017)

Pushing the Limits of Translation Quality Estimation. - André F. T. Martins; Marcin Junczys-Dowmunt; Fábio N. Kepler; Ramón Fernandez Astudillo; Chris Hokamp; Roman Grundkiewicz (Trans. Assoc. Comput. Linguistics, 2017)

Marian: Fast Neural Machine Translation in C++. - Marcin Junczys-Dowmunt; Roman Grundkiewicz; Tomasz Dwojak; Hieu Hoang; Kenneth Heafield; Tom Neckermann; Frank Seide; Ulrich Germann; Alham Fikri Aji; Nikolay Bogoychev; André F. T. Martins; Alexandra Birch (ACL (4), 2018)

Sparse and Constrained Attention for Neural Machine Translation. - Chaitanya Malaviya; Pedro Ferreira; André F. T. Martins (ACL (2), 2018)

Towards Dynamic Computation Graphs via Sparse Latent Structure. - Vlad Niculae; André F. T. Martins; Claire Cardie (EMNLP, 2018)

Interpretable Structure Induction via Sparse Attention. - Ben Peters; Vlad Niculae; André F. T. Martins (BlackboxNLP@EMNLP, 2018)

SparseMAP: Differentiable Sparse Structured Inference. - Vlad Niculae; André F. T. Martins; Mathieu Blondel; Claire Cardie (ICML, 2018)

Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations. - Sameen Maruf; André F. T. Martins; Gholamreza Haffari (WMT, 2018)

Findings of the WMT 2018 Shared Task on Quality Estimation. - Lucia Specia; Frédéric Blain; Varvara Logacheva; Ramón Fernandez Astudillo; André F. T. Martins (WMT (shared task), 2018)

A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning. - Gonçalo M. Correia; André F. T. Martins (ACL (1), 2019)

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)

Joint Learning of Named Entity Recognition and Entity Linking. - Pedro Henrique Martins; Zita Marinho; André F. T. Martins (ACL (2), 2019)

Latent Structure Models for Natural Language Processing. - André F. T. Martins; Tsvetomila Mihaylova; Nikita Nangia; Vlad Niculae (ACL (4), 2019)

Scheduled Sampling for Transformers. - Tsvetomila Mihaylova; André F. T. Martins (ACL (2), 2019)

Sparse Sequence-to-Sequence Models. - Ben Peters; Vlad Niculae; André F. T. Martins (ACL (1), 2019)

Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. - Mathieu Blondel; André F. T. Martins; Vlad Niculae (AISTATS, 2019)

Adaptively Sparse Transformers. - Gonçalo M. Correia; Vlad Niculae; André F. T. Martins (EMNLP/IJCNLP (1), 2019)

Translator2Vec: Understanding and Representing Human Post-Editors. - António Góis; André F. T. Martins (MTSummit (1), 2019)

Selective Attention for Context-aware Neural Machine Translation. - Sameen Maruf; André F. T. Martins; Gholamreza Haffari (NAACL-HLT (1), 2019)

Jointly Extracting and Compressing Documents with Summary State Representations. - Afonso Mendes; Shashi Narayan; Sebastião Miranda; Zita Marinho; André F. T. Martins; Shay B. Cohen (NAACL-HLT (1), 2019)

Findings of the WMT 2019 Shared Tasks on Quality Estimation. - Erick R. Fonseca; Lisa Yankovskaya; André F. T. Martins; Mark Fishel; Christian Federmann (WMT (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)

Unbabel's Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-Editing. - António V. Lopes; M. Amin Farajian; Gonçalo M. Correia; Jonay Trénous; André F. T. Martins (WMT (3), 2019)

Notes on Latent Structure Models and SPIGOT. - André F. T. Martins; Vlad Niculae (CoRR, 2019)

Revisiting Higher-Order Dependency Parsers. - Erick Rocha Fonseca; André F. T. Martins (ACL, 2020)

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

Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings. - António Góis; Kyunghyun Cho; André F. T. Martins (EAMT, 2020)

Document-level Neural MT: A Systematic Comparison. - António V. Lopes; M. Amin Farajian; Rachel Bawden; Michael Zhang; André F. T. Martins (EAMT, 2020)

DeepSPIN: Deep Structured Prediction for Natural Language Processing. - André Filipe Torres Martins (EAMT, 2020)

Project MAIA: Multilingual AI Agent Assistant. - André Filipe Torres Martins; João Graça; Paulo Dimas; Helena Moniz; Graham Neubig (EAMT, 2020)

Sparse Text Generation. - Pedro Henrique Martins; Zita Marinho; André F. T. Martins (EMNLP (1), 2020)

Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. - Tsvetomila Mihaylova; Vlad Niculae; André F. T. Martins (EMNLP (1), 2020)

LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. - Vlad Niculae; André F. T. Martins (ICML, 2020)

Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. - Gonçalo M. Correia; Vlad Niculae; Wilker Aziz; André F. T. Martins (NeurIPS, 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)

One-Size-Fits-All Multilingual Models. - Ben Peters; André F. T. Martins (SIGMORPHON, 2020)

Findings of the WMT 2020 Shared Task on Chat Translation. - M. Amin Farajian; António V. Lopes; André F. T. Martins; Sameen Maruf; Gholamreza Haffari (WMT@EMNLP, 2020)

IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task. - João Moura 005; Miguel Vera; Daan van Stigt; Fábio N. Kepler; André F. T. Martins (WMT@EMNLP, 2020)

Findings of the WMT 2020 Shared Task on Quality Estimation. - Lucia Specia; Frédéric Blain; Marina Fomicheva; Erick Rocha Fonseca; Vishrav Chaudhary; Francisco Guzmán; André F. T. Martins (WMT@EMNLP, 2020)

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

Learning with Fenchel-Young losses. - Mathieu Blondel; André F. T. Martins; Vlad Niculae (J. Mach. Learn. Res., 2020)

Measuring and Increasing Context Usage in Context-Aware Machine Translation. - Patrick Fernandes; Kayo Yin; Graham Neubig; André F. T. Martins (ACL/IJCNLP (1), 2021)

Do Context-Aware Translation Models Pay the Right Attention? - Kayo Yin; Patrick Fernandes; Danish Pruthi; Aditi Chaudhary; André F. T. Martins; Graham Neubig (ACL/IJCNLP (1), 2021)

Uncertainty-Aware Machine Translation Evaluation. - Taisiya Glushkova; Chrysoula Zerva; Ricardo Rei; André F. T. Martins (EMNLP (Findings), 2021)

SPECTRA: Sparse Structured Text Rationalization. - Nuno Miguel Guerreiro; André F. T. Martins (EMNLP (1), 2021)

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)

Multimodal Continuous Visual Attention Mechanisms. - António Farinhas; André F. T. Martins; Pedro M. Q. Aguiar (ICCVW, 2021)

Sparse And Structured Visual Attention. - Pedro Henrique Martins; Vlad Niculae; Zita Marinho; André F. T. Martins (ICIP, 2021)

Smoothing and Shrinking the Sparse Seq2Seq Search Space. - Ben Peters; André F. T. Martins (NAACL-HLT, 2021)

Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task. - Ricardo Rei; Ana C. Farinha; Chrysoula Zerva; Daan van Stigt; Craig Stewart; Pedro G. Ramos; Taisiya Glushkova; André F. T. Martins; Alon Lavie (WMT@EMNLP, 2021)

Findings of the WMT 2021 Shared Task on Quality Estimation. - Lucia Specia; Frédéric Blain; Marina Fomicheva; Chrysoula Zerva; Zhenhao Li 003; Vishrav Chaudhary; André F. T. Martins (WMT@EMNLP, 2021)

IST-Unbabel 2021 Submission for the Quality Estimation Shared Task. - Chrysoula Zerva; Daan van Stigt; Ricardo Rei; Ana C. Farinha; Pedro G. Ramos; José G. C. de Souza; Taisiya Glushkova; Miguel Vera; Fábio N. Kepler; André F. T. Martins (WMT@EMNLP, 2021)

Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication. - André F. T. Martins (CoRR, 2021)

When Does Translation Require Context? A Data-driven, Multilingual Exploration. - Kayo Yin; Patrick Fernandes; André F. T. Martins; Graham Neubig (CoRR, 2021)

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

∞-former: Infinite Memory Transformer. - Pedro Henrique Martins; Zita Marinho; André F. T. Martins (ACL (1), 2022)

Differentiable Causal Discovery Under Latent Interventions. - Gonçalo Rui Alves Faria; André F. T. Martins; Mário A. T. Figueiredo (CLeaR, 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)

Searching for COMETINHO: The Little Metric That Could. - Ricardo Rei; Ana C. Farinha; José G. C. de Souza; Pedro G. Ramos; André F. T. Martins; Luísa Coheur; Alon Lavie (EAMT, 2022)

QUARTZ: Quality-Aware Machine Translation. - José G. C. de Souza; Ricardo Rei; Ana C. Farinha; Helena Moniz; André F. T. Martins (EAMT, 2022)

Chunk-based Nearest Neighbor Machine Translation. - Pedro Henrique Martins; Zita Marinho; André F. T. Martins (EMNLP, 2022)

Disentangling Uncertainty in Machine Translation Evaluation. - Chrysoula Zerva; Taisiya Glushkova; Ricardo Rei; André F. T. Martins (EMNLP, 2022)

Sparse Communication via Mixed Distributions. - António Farinhas; Wilker Aziz; Vlad Niculae; André F. T. Martins (ICLR, 2022)

Modeling Structure with Undirected Neural Networks. - Tsvetomila Mihaylova; Vlad Niculae; André F. T. Martins (ICML, 2022)

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. - Marina Fomicheva; Shuo Sun; Erick R. Fonseca; Chrysoula Zerva; Frédéric Blain; Vishrav Chaudhary; Francisco Guzmán; Nina Lopatina; Lucia Specia; André F. T. Martins (LREC, 2022)

Quality-Aware Decoding for Neural Machine Translation. - Patrick Fernandes; António Farinhas; Ricardo Rei; José Guilherme Camargo de Souza; Perez Ogayo; Graham Neubig; André F. T. Martins (NAACL-HLT, 2022)

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

Unbabel-IST at the WMT Chat Translation Shared Task. - João Alves 003; Pedro Henrique Martins; José G. C. de Souza; M. Amin Farajian; André F. T. Martins (WMT, 2022)

Robust MT Evaluation with Sentence-level Multilingual Augmentation. - Duarte M. Alves; Ricardo Rei; Ana C. Farinha; José G. C. de Souza; André F. T. Martins (WMT, 2022)

Findings of the WMT 2022 Shared Task on Chat Translation. - Ana C. Farinha; M. Amin Farajian; Marianna Buchicchio; Patrick Fernandes; José G. C. de Souza; Helena Moniz; André F. T. Martins (WMT, 2022)

Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust. - Markus Freitag; Ricardo Rei; Nitika Mathur; Chi-kiu Lo; Craig Stewart; Eleftherios Avramidis; Tom Kocmi; George F. Foster; Alon Lavie; André F. T. Martins (WMT, 2022)

COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task. - Ricardo Rei; José G. C. de Souza; Duarte M. Alves; Chrysoula Zerva; Ana C. Farinha; Taisiya Glushkova; Alon Lavie; Luísa Coheur; André F. T. Martins (WMT, 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)

Findings of the WMT 2022 Shared Task on Quality Estimation. - Chrysoula Zerva; Frédéric Blain; Ricardo Rei; Piyawat Lertvittayakumjorn; José G. C. de Souza; Steffen Eger; Diptesh Kanojia; Duarte M. Alves; Constantin Orasan; Marina Fomicheva; André F. T. Martins; Lucia Specia (WMT, 2022)

Better Uncertainty Quantification for Machine Translation Evaluation. - Chrysoula Zerva; Taisiya Glushkova; Ricardo Rei; André F. T. Martins (CoRR, 2022)

Efficient Machine Translation Domain Adaptation. - Pedro Henrique Martins; Zita Marinho; André F. T. Martins (CoRR, 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)

Improving abstractive summarization with energy-based re-ranking. - Diogo Pernes; Afonso Mendes; André F. T. Martins (CoRR, 2022)

Asking Clarification Questions for Code Generation in General-Purpose Programming Language. - Haau-Sing Li; Mohsen Mesgar; André F. T. Martins; Iryna Gurevych (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)

When Does Translation Require Context? A Data-driven, Multilingual Exploration. - Patrick Fernandes; Kayo Yin; Emmy Liu; André F. T. Martins; Graham Neubig (ACL (1), 2023)

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. - Nuno Miguel Guerreiro; Pierre Colombo; Pablo Piantanida; André F. T. Martins (ACL (1), 2023)

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. - Ayyoob Imani; Peiqin Lin; Amir Hossein Kargaran; Silvia Severini; Masoud Jalili Sabet; Nora Kassner; Chunlan Ma; Helmut Schmid; André F. T. Martins; François Yvon; Hinrich Schütze (ACL (1), 2023)

Python Code Generation by Asking Clarification Questions. - Haau-Sing Li; Mohsen Mesgar; André F. T. Martins; Iryna Gurevych (ACL (1), 2023)

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)

Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. - Nuno Miguel Guerreiro; Elena Voita; André F. T. Martins (EACL, 2023)

BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation. - Taisiya Glushkova; Chrysoula Zerva; André F. T. Martins (EAMT, 2023)

Empirical Assessment of kNN-MT for Real-World Translation Scenarios. - Pedro Henrique Martins; João Alves 003; Tânia Vaz; Madalena Gonçalves; Beatriz Silva; Marianna Buchicchio; José G. C. de Souza; André F. T. Martins (EAMT, 2023)

Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. - Duarte M. Alves; Nuno Miguel Guerreiro; João Alves 003; José Pombal; Ricardo Rei; José Guilherme Camargo de Souza; Pierre Colombo; André F. T. Martins (EMNLP (Findings), 2023)

An Empirical Study of Translation Hypothesis Ensembling with Large Language Models. - António Farinhas; José Guilherme Camargo de Souza; André F. T. Martins (EMNLP, 2023)

Findings of the WMT 2023 Shared Task on Quality Estimation. - Frédéric Blain; Chrysoula Zerva; Ricardo Ribeiro; Nuno Miguel Guerreiro; Diptesh Kanojia; José G. C. de Souza; Beatriz Silva; Tânia Vaz; Yan Jingxuan; Fatemeh Azadi; Constantin Orasan; André F. T. Martins (WMT, 2023)

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. - Patrick Fernandes; Daniel Deutsch; Mara Finkelstein; Parker Riley; André F. T. Martins; Graham Neubig; Ankush Garg; Jonathan H. Clark; Markus Freitag; Orhan Firat (WMT, 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)

mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. - Peiqin Lin; Chengzhi Hu; Zheyu Zhang 007; André F. T. Martins; Hinrich Schütze (CoRR, 2023)

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. - Patrick Fernandes; Aman Madaan; Emmy Liu; António Farinhas; Pedro Henrique Martins; Amanda Bertsch; José G. C. de Souza; Shuyan Zhou; Tongshuang Wu; Graham Neubig; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 2023)

Hallucinations in Large Multilingual Translation Models. - Nuno Miguel Guerreiro; Duarte M. Alves; Jonas Waldendorf; Barry Haddow; Alexandra Birch; Pierre Colombo; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 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)

mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. - Peiqin Lin; Chengzhi Hu; Zheyu Zhang 007; André F. T. Martins; Hinrich Schütze (EACL (Findings), 2024)

Non-Exchangeable Conformal Language Generation with Nearest Neighbors. - Dennis Ulmer; Chrysoula Zerva; André F. T. Martins (EACL (Findings), 2024)

The Center for Responsible AI Project. - Maria Ana Henriques; Ana C. Farinha; Nuno André; António Novais; Sara Guerreiro de Sousa; Bruno Prezado Silva; Ana Oliveira; Helena Moniz; André F. T. Martins; Paulo Dimas (EAMT (2), 2024)

Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. - Miguel Moura Ramos; Patrick Fernandes; António Farinhas; André F. T. Martins (EAMT (1), 2024)

Can Automatic Metrics Assess High-Quality Translations? - Sweta Agrawal; António Farinhas; Ricardo Rei; André F. T. Martins (EMNLP, 2024)

Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation. - Sweta Agrawal; José Guilherme Camargo de Souza; Ricardo Rei; António Farinhas; Gonçalo Rui Alves Faria; Patrick Fernandes; Nuno Miguel Guerreiro; André F. T. Martins (EMNLP, 2024)

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)

Analyzing Context Contributions in LLM-based Machine Translation. - Emmanouil Zaranis; Nuno Miguel Guerreiro; André F. T. Martins (EMNLP (Findings), 2024)

Non-Exchangeable Conformal Risk Control. - António Farinhas; Chrysoula Zerva; Dennis Ulmer; André F. T. Martins (ICLR, 2024)

Sparse and Structured Hopfield Networks. - Saul José Rodrigues dos Santos; Vlad Niculae; Daniel C. McNamee; André F. T. Martins (ICML, 2024)

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation. - Gonçalo Rui Alves Faria; Sweta Agrawal; António Farinhas; Ricardo Rei; José Guilherme Camargo de Souza; André F. T. Martins (NeurIPS, 2024)

Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models. - José Pombal; Sweta Agrawal; André F. T. Martins (WMT, 2024)

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task. - Ricardo Rei; José Pombal; Nuno Miguel Guerreiro; João Alves 003; Pedro Henrique Martins; Patrick Fernandes; Helena Wu; Tânia Vaz; Duarte M. Alves; M. Amin Farajian; Sweta Agrawal; António Farinhas; et al. (WMT, 2024)

Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? - Chrysoula Zerva; Frédéric Blain; José Guilherme Camargo de Souza; Diptesh Kanojia; Sourabh Dattatray Deoghare; Nuno Miguel Guerreiro; Giuseppe Attanasio; Ricardo Rei; Constantin Orasan; Matteo Negri; Marco Turchi; Rajen Chatterjee; et al. (WMT, 2024)

MaLA-500: Massive Language Adaptation of Large Language Models. - Peiqin Lin; Shaoxiong Ji; Jörg Tiedemann; André F. T. Martins; Hinrich Schütze (CoRR, 2024)

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks. - Duarte M. Alves; José Pombal; Nuno Miguel Guerreiro; Pedro Henrique Martins; João Alves 003; M. Amin Farajian; Ben Peters; Ricardo Rei; Patrick Fernandes; Sweta Agrawal; Pierre Colombo; José G. C. de Souza; et al. (CoRR, 2024)

SaulLM-7B: A pioneering Large Language Model for Law. - Pierre Colombo; Telmo Pessoa Pires; Malik Boudiaf; Dominic Culver; Rui Melo; Caio Corro; André F. T. Martins; Fabrizio Esposito; Vera Lúcia Raposo; Sofia Morgado; Michael Desa (CoRR, 2024)

Is Context Helpful for Chat Translation Evaluation? - Sweta Agrawal; M. Amin Farajian; Patrick Fernandes; Ricardo Rei; André F. T. Martins (CoRR, 2024)

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. - Anna Bavaresco; Raffaella Bernardi; Leonardo Bertolazzi; Desmond Elliott; Raquel Fernández; Albert Gatt; Esam Ghaleb; Mario Giulianelli; Michael Hanna 001; Alexander Koller; André F. T. Martins; Philipp Mondorf; et al. (CoRR, 2024)

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

DOCE: Finding the Sweet Spot for Execution-Based Code Generation. - Haau-Sing Li; Patrick Fernandes; Iryna Gurevych; André F. T. Martins (CoRR, 2024)

Reranking Laws for Language Generation: A Communication-Theoretic Perspective. - António Farinhas; Haau-Sing Li; André F. T. Martins (CoRR, 2024)

EuroLLM: Multilingual Language Models for Europe. - Pedro Henrique Martins; Patrick Fernandes; João Alves 003; Nuno Miguel Guerreiro; Ricardo Rei; Duarte M. Alves; José Pombal; M. Amin Farajian; Manuel Faysse; Mateusz Klimaszewski; Pierre Colombo; Barry Haddow; et al. (CoRR, 2024)

Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings. - Miguel Moura Ramos; Tomás Almeida; Daniel Vareta; Filipe Azevedo 001; Sweta Agrawal; Patrick Fernandes; André F. T. Martins (CoRR, 2024)

Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval. - Saul José Rodrigues dos Santos; Vlad Niculae; Daniel C. McNamee; André F. T. Martins (CoRR, 2024)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - Shivalika Singh; Angelika Romanou; Clémentine Fourrier; David Ifeoluwa Adelani; Jian Gang Ngui; Daniel Vila-Suero; Peerat Limkonchotiwat; Kelly Marchisio; Wei Qi Leong; Yosephine Susanto; Raymond Ng; Shayne Longpre; et al. (CoRR, 2024)

A Context-aware Framework for Translation-mediated Conversations. - José Pombal; Sweta Agrawal; Patrick Fernandes; Emmanouil Zaranis; André F. T. Martins (CoRR, 2024)

Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions? - Sweta Agrawal; M. Amin Farajian; Patrick Fernandes; Ricardo Rei; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 2024)

Conformal Prediction for Natural Language Processing: A Survey. - Margarida M. Campos; António Farinhas; Chrysoula Zerva; Mário A. T. Figueiredo; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 2024)

xcomet : Transparent Machine Translation Evaluation through Fine-grained Error Detection. - Nuno Miguel Guerreiro; Ricardo Rei; Daan van Stigt; Luísa Coheur; Pierre Colombo; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 2024)

Conformalizing Machine Translation Evaluation. - Chrysoula Zerva; André F. T. Martins (Trans. Assoc. Comput. Linguistics, 2024)

Did Translation Models Get More Robust Without Anyone Even Noticing? - Ben Peters; André F. T. Martins (ACL (1), 2025)

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation. - Shivalika Singh; Angelika Romanou; Clémentine Fourrier; David Ifeoluwa Adelani; Jian Gang Ngui; Daniel Vila-Suero; Peerat Limkonchotiwat; Kelly Marchisio; Wei Qi Leong; Yosephine Susanto; Raymond Ng; Shayne Longpre; et al. (ACL (1), 2025)

Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation. - Emmanouil Zaranis; Giuseppe Attanasio; Sweta Agrawal; André F. T. Martins (ACL (1), 2025)

Sparse Activations as Conformal Predictors. - Margarida M. Campos; João Cálem; Sophia Sklaviadis; Mário A. T. Figueiredo; André F. T. Martins (AISTATS, 2025)

XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples. - Peiqin Lin; André F. T. Martins; Hinrich Schütze (NAACL (Findings), 2025)

A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models. - Peiqin Lin; André F. T. Martins; Hinrich Schütze (NAACL (Findings), 2025)

Discrete Latent Structure in Neural Networks. - Vlad Niculae; Caio Corro; Nikita Nangia; Tsvetomila Mihaylova; André F. T. Martins (Found. Trends Signal Process., 2025)

CroissantLLM: A Truly Bilingual French-English Language Model. - Manuel Faysse; Patrick Fernandes; Nuno Miguel Guerreiro; António Loison; Duarte M. Alves; Caio Corro; Nicolas Boizard; João Alves 003; Ricardo Rei; Pedro Henrique Martins; Antoni Bigata Casademunt; François Yvon; et al. (Trans. Mach. Learn. Res., 2025)

∞-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation. - Saul José Rodrigues dos Santos; António Farinhas; Daniel C. McNamee; André F. T. Martins (CoRR, 2025)

Modern Hopfield Networks with Continuous-Time Memories. - Saul José Rodrigues dos Santos; António Farinhas; Daniel C. McNamee; André F. T. Martins (CoRR, 2025)

Fenchel-Young Variational Learning. - Sophia Sklaviadis; Sweta Agrawal; António Farinhas; André F. T. Martins; Mário A. T. Figueiredo (CoRR, 2025)

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

Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral. - António Farinhas; Nuno Miguel Guerreiro; Sweta Agrawal; Ricardo Rei; André F. T. Martins (CoRR, 2025)

LegalBench.PT: A Benchmark for Portuguese Law. - Beatriz Canaverde; Telmo Pessoa Pires; Leonor Melo Ribeiro; André F. T. Martins (CoRR, 2025)

EuroBERT: Scaling Multilingual Encoders for European Languages. - Nicolas Boizard; Hippolyte Gisserot-Boukhlef; Duarte M. Alves; André F. T. Martins; Ayoub Hammal; Caio Corro; Céline Hudelot; Emmanuel Malherbe; Etienne Malaboeuf; Fanny Jourdan; Gabriel Hautreux; João Alves 003; et al. (CoRR, 2025)

Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation. - José Pombal; Nuno Miguel Guerreiro; Ricardo Rei; André F. T. Martins (CoRR, 2025)

From TOWER to SPIRE: Adding the Speech Modality to a Text-Only LLM. - Kshitij Ambilduke; Ben Peters; Sonal Sannigrahi; Anil Keshwani; Tsz Kin Lam; Bruno Martins 001; Marcely Zanon Boito; André F. T. Martins (CoRR, 2025)

Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models. - José Pombal; Nuno Miguel Guerreiro; Ricardo Rei; André F. T. Martins (CoRR, 2025)

M-Prometheus: A Suite of Open Multilingual LLM Judges. - José Pombal; Dongkeun Yoon; Patrick Fernandes; Ian Wu; Seungone Kim; Ricardo Rei; Graham Neubig; André F. T. Martins (CoRR, 2025)

Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering. - Patrick Fernandes; Sweta Agrawal; Emmanouil Zaranis; André F. T. Martins; Graham Neubig (CoRR, 2025)

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation. - Miguel Moura Ramos; Patrick Fernandes; Sweta Agrawal; André F. T. Martins (CoRR, 2025)

Different Speech Translation Models Encode and Translate Speaker Gender Differently. - Dennis Fucci; Marco Gaido; Matteo Negri; Luisa Bentivogli; André F. T. Martins; Giuseppe Attanasio (CoRR, 2025)

EuroLLM-9B: Technical Report. - Pedro Henrique Martins; João Alves 003; Patrick Fernandes; Nuno Miguel Guerreiro; Ricardo Rei; M. Amin Farajian; Mateusz Klimaszewski; Duarte M. Alves; José Pombal; Nicolas Boizard; Manuel Faysse; Pierre Colombo; et al. (CoRR, 2025)

Movie Facts and Fibs (MF2): A Benchmark for Long Movie Understanding. - Emmanouil Zaranis; António Farinhas; Saul José Rodrigues dos Santos; Beatriz Canaverde; Miguel Moura Ramos; Aditya K. Surikuchi; André Viveiros; Baohao Liao; Elena Belén Bueno-Benito; Nithin Sivakumaran; Pavlo Vasylenko; Shoubin Yu; et al. (CoRR, 2025)

An Interdisciplinary Approach to Human-Centered Machine Translation. - Marine Carpuat; Omri Asscher; Kalika Bali; Luisa Bentivogli; Frédéric Blain; Lynne Bowker; Monojit Choudhury; Hal Daumé III; Kevin Duh; Ge Gao 001; Alvin Grissom II; Marzena Karpinska; et al. (CoRR, 2025)

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

Instituto de Telecomunicações at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning. - Giuseppe Attanasio; Sonal Sannigrahi; Ben Peters; André F. T. Martins (CoRR, 2025)

Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs. - Ricardo Rei; Nuno Miguel Guerreiro; José Pombal; João Alves 003; Pedro Teixeirinha; M. Amin Farajian; André F. T. Martins (CoRR, 2025)

Should We Still Pretrain Encoders with Masked Language Modeling? - Hippolyte Gisserot-Boukhlef; Nicolas Boizard; Manuel Faysse; Duarte M. Alves; Emmanuel Malherbe; André F. T. Martins; Céline Hudelot; Pierre Colombo (CoRR, 2025)