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)

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

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

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)

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

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)

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

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

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

∞-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)

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)

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)