André F. T. Martins

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 159

Top Venues

Publications

Manuel Faysse, Patrick Fernandes, Nuno M. Guerreiro, António Loison, Duarte M. Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo
CroissantLLM: A Truly Bilingual French-English Language Model. CoRR (2024)
Peiqin Lin, Shaoxiong Ji, Jörg Tiedemann, André F. T. Martins, Hinrich Schütze
MaLA-500: Massive Language Adaptation of Large Language Models. CoRR (2024)
Dennis Ulmer, Chrysoula Zerva, André F. T. Martins
Non-Exchangeable Conformal Language Generation with Nearest Neighbors. CoRR (2024)
Taisiya Glushkova, Chrysoula Zerva, André F. T. Martins
BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation. CoRR (2023)
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 (2023)
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
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. ACL (1) (2023)
Miguel Moura Ramos, Patrick Fernandes, António Farinhas, André F. T. Martins
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference. CoRR (2023)
Nuno Miguel Guerreiro, Elena Voita, André F. T. Martins
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. EACL (2023)
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
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR (2023)
Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. CoRR (2023)
Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins
Discrete Latent Structure in Neural Networks. CoRR (2023)
António Farinhas, José Guilherme Camargo de Souza, André F. T. Martins
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models. EMNLP (2023)
Duarte M. Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José G. C. de Souza, Pierre Colombo, André F. T. Martins
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. CoRR (2023)
Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych
Python Code Generation by Asking Clarification Questions. ACL (1) (2023)
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 (2023)
Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. ACL (1) (2023)
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR (2023)
António Farinhas, José G. C. de Souza, André F. T. Martins
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models. CoRR (2023)
Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins
Hallucinations in Large Multilingual Translation Models. CoRR (2023)
Ayyoob ImaniGooghari, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. CoRR (2023)
Nuno Miguel Guerreiro, Ricardo Rei, Daan van Stigt, Luísa Coheur, Pierre Colombo, André F. T. Martins
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection. CoRR (2023)
Chrysoula Zerva, André F. T. Martins
Conformalizing Machine Translation Evaluation. CoRR (2023)
Taisiya Glushkova, Chrysoula Zerva, André F. T. Martins
BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation. EAMT (2023)
Pedro Henrique Martins, João Alves, Tânia Vaz, Madalena Gonçalves, Beatriz Silva, Marianna Buchicchio, José G. C. de Souza, André F. T. Martins
Empirical Assessment of kNN-MT for Real-World Translation Scenarios. EAMT (2023)
António Farinhas, Chrysoula Zerva, Dennis Ulmer, André F. T. Martins
Non-Exchangeable Conformal Risk Control. CoRR (2023)
Peiqin Lin, Chengzhi Hu, Zheyu Zhang, André F. T. Martins, Hinrich Schütze
mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models. CoRR (2023)
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Chunk-based Nearest Neighbor Machine Translation. CoRR (2022)
Duarte M. Alves, Ricardo Rei, Ana C. Farinha, José G. C. de Souza, André F. T. Martins
Robust MT Evaluation with Sentence-level Multilingual Augmentation. WMT (2022)
João Alves, Pedro Henrique Martins, José G. C. de Souza, M. Amin Farajian, André F. T. Martins
Unbabel-IST at the WMT Chat Translation Shared Task. WMT (2022)
Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei, André F. T. Martins
Better Uncertainty Quantification for Machine Translation Evaluation. CoRR (2022)
Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR (2022)
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)
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 (2022)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Modeling Structure with Undirected Neural Networks. CoRR (2022)
Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins
Quality-Aware Decoding for Neural Machine Translation. CoRR (2022)
Gonçalo Rui Alves Faria, André F. T. Martins, Mário A. T. Figueiredo
Differentiable Causal Discovery Under Latent Interventions. CLeaR (2022)
Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei, André F. T. Martins
Disentangling Uncertainty in Machine Translation Evaluation. EMNLP (2022)
Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych
Asking Clarification Questions for Code Generation in General-Purpose Programming Language. CoRR (2022)
Marcos V. Treviso, António Góis, Patrick Fernandes, Erick Rocha Fonseca, André F. T. Martins
Predicting Attention Sparsity in Transformers. SPNLP@ACL (2022)
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)
José G. C. de Souza, Ricardo Rei, Ana C. Farinha, Helena Moniz, André F. T. Martins
QUARTZ: Quality-Aware Machine Translation. EAMT (2022)
Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. CoRR (2022)
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Efficient Machine Translation Domain Adaptation. CoRR (2022)
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 (2022)
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, Alon Lavie, Luísa Coheur, André F. T. Martins
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task. CoRR (2022)
Markus Freitag, Ricardo Rei, Nitika Mathur, Chi-kiu Lo, Craig Stewart, Eleftherios Avramidis, Tom Kocmi, George F. Foster, Alon Lavie, André F. T. Martins
Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust. WMT (2022)
Nuno Miguel Guerreiro, Elena Voita, André F. T. Martins
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. CoRR (2022)
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
∞-former: Infinite Memory Transformer. ACL (1) (2022)
Ana C. Farinha, M. Amin Farajian, Marianna Buchicchio, Patrick Fernandes, José G. C. de Souza, Helena Moniz, André F. T. Martins
Findings of the WMT 2022 Shared Task on Chat Translation. WMT (2022)
Patrick Fernandes, António Farinhas, Ricardo Rei, José Guilherme Camargo de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins
Quality-Aware Decoding for Neural Machine Translation. NAACL-HLT (2022)
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
Findings of the WMT 2022 Shared Task on Quality Estimation. WMT (2022)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Modeling Structure with Undirected Neural Networks. ICML (2022)
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Chunk-based Nearest Neighbor Machine Translation. EMNLP (2022)
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
COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task. WMT (2022)
Diogo Pernes, Afonso Mendes, André F. T. Martins
Improving abstractive summarization with energy-based re-ranking. CoRR (2022)
Marina Fomicheva, Shuo Sun, Erick R. Fonseca, Chrysoula Zerva, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. LREC (2022)
Gonçalo R. A. Faria, André F. T. Martins, Mário A. T. Figueiredo
Differentiable Causal Discovery Under Latent Interventions. CoRR (2022)
Ricardo Rei, Ana C. Farinha, José G. C. de Souza, Pedro G. Ramos, André F. T. Martins, Luísa Coheur, Alon Lavie
Searching for COMETINHO: The Little Metric That Could. EAMT (2022)
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins
Sparse Communication via Mixed Distributions. ICLR (2022)
Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig
Do Context-Aware Translation Models Pay the Right Attention? CoRR (2021)
Ben Peters, André F. T. Martins
Smoothing and Shrinking the Sparse Seq2Seq Search Space. NAACL-HLT (2021)
Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins
Measuring and Increasing Context Usage in Context-Aware Machine Translation. CoRR (2021)
Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig
Do Context-Aware Translation Models Pay the Right Attention? ACL/IJCNLP (1) (2021)
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins
Sparse Communication via Mixed Distributions. CoRR (2021)
Kayo Yin, Patrick Fernandes, André F. T. Martins, Graham Neubig
When Does Translation Require Context? A Data-driven, Multilingual Exploration. CoRR (2021)
Nuno Miguel Guerreiro, André F. T. Martins
SPECTRA: Sparse Structured Text Rationalization. EMNLP (1) (2021)
Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins
Measuring and Increasing Context Usage in Context-Aware Machine Translation. ACL/IJCNLP (1) (2021)
Lucia Specia, Frédéric Blain, Marina Fomicheva, Chrysoula Zerva, Zhenhao Li, Vishrav Chaudhary, André F. T. Martins
Findings of the WMT 2021 Shared Task on Quality Estimation. WMT@EMNLP (2021)
Chrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C. Farinha, Pedro Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fábio N. Kepler, André F. T. Martins
IST-Unbabel 2021 Submission for the Quality Estimation Shared Task. WMT@EMNLP (2021)
António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar
Multimodal Continuous Visual Attention Mechanisms. ICCVW (2021)
Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins
Uncertainty-Aware Machine Translation Evaluation. CoRR (2021)
Marcos V. Treviso, António Góis, Patrick Fernandes, Erick R. Fonseca, André F. T. Martins
Predicting Attention Sparsity in Transformers. CoRR (2021)
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 (2021)
Ricardo Rei, Ana C. Farinha, Chrysoula Zerva, Daan van Stigt, Craig Stewart, Pedro Ramos, Taisiya Glushkova, André F. T. Martins, Alon Lavie
Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task. WMT@EMNLP (2021)
André F. T. Martins
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication. CoRR (2021)
Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins
Sparse And Structured Visual Attention. ICIP (2021)
Nuno Miguel Guerreiro, André F. T. Martins
SPECTRA: Sparse Structured Text Rationalization. CoRR (2021)
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
∞-former: Infinite Memory Transformer. CoRR (2021)
Ben Peters, André F. T. Martins
Smoothing and Shrinking the Sparse Seq2Seq Search Space. CoRR (2021)
António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar
Multimodal Continuous Visual Attention Mechanisms. CoRR (2021)
Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins
Uncertainty-Aware Machine Translation Evaluation. EMNLP (Findings) (2021)
Ben Peters, André F. T. Martins
One-Size-Fits-All Multilingual Models. SIGMORPHON (2020)
Marcos V. Treviso, André F. T. Martins
The Explanation Game: Towards Prediction Explainability through Sparse Communication. BlackboxNLP@EMNLP (2020)
Mathieu Blondel, André F. T. Martins, Vlad Niculae
Learning with Fenchel-Young losses. J. Mach. Learn. Res. 21 (2020)
Marina Fomicheva, Shuo Sun, Erick R. Fonseca, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. CoRR (2020)
Vlad Niculae, André F. T. Martins
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. ICML (2020)
António Góis, Kyunghyun Cho, André F. T. Martins
Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings. EAMT (2020)
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Sparse Text Generation. CoRR (2020)
João Moura, Miguel Vera, Daan van Stigt, Fábio N. Kepler, André F. T. Martins
IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task. WMT@EMNLP (2020)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. CoRR (2020)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. EMNLP (1) (2020)
Vlad Niculae, André F. T. Martins
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. CoRR (2020)
Marcos V. Treviso, André F. T. Martins
Towards Prediction Explainability through Sparse Communication. CoRR (2020)
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. CoRR (2020)
Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins
Sparse and Structured Visual Attention. CoRR (2020)
M. Amin Farajian, António V. Lopes, André F. T. Martins, Sameen Maruf, Gholamreza Haffari
Findings of the WMT 2020 Shared Task on Chat Translation. WMT@EMNLP (2020)
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 (2020)
Lucia Specia, Frédéric Blain, Marina Fomicheva, Erick Rocha Fonseca, Vishrav Chaudhary, Francisco Guzmán, André F. T. Martins
Findings of the WMT 2020 Shared Task on Quality Estimation. WMT@EMNLP (2020)
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. NeurIPS (2020)
Erick Rocha Fonseca, André F. T. Martins
Revisiting Higher-Order Dependency Parsers. ACL (2020)

André F. T. Martins.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

André F. T. Martins