António Farinhas

According to our database, António Farinhas authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MindGuard: Guardrail Classifiers for Multi-Turn Mental Health Support.

António Farinhas, Nuno Miguel Guerreiro, José Pombal, Pedro Henrique Martins, Laura Melton, Alex Conway, Cara Dochat, Maya D'Eon, Ricardo Rei

CoRR, February, 2026

2025

MindEval: Benchmarking Language Models on Multi-turn Mental Health Support.

José Pombal, Maya D'Eon, Nuno Miguel Guerreiro, Pedro Henrique Martins, António Farinhas, Ricardo Rei

CoRR, November, 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, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, André F. T. Martins

CoRR, June, 2025

Fenchel-Young Variational Learning.

Sophia Sklaviadis, Sweta Agrawal, António Farinhas, André F. T. Martins, Mário A. T. Figueiredo

CoRR, February, 2025

Modern Hopfield Networks with Continuous-Time Memories.

Saul José Rodrigues dos Santos, António Farinhas, Daniel C. McNamee, André F. T. Martins

CoRR, February, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task.

Ricardo Rei, José Pombal, Nuno Miguel Guerreiro, João Alves, Pedro Henrique Martins, Patrick Fernandes, Helena Wu, Tânia Vaz, Duarte M. Alves, M. Amin Farajian, Sweta Agrawal, António Farinhas, José Guilherme Camargo de Souza, André F. T. Martins

Proceedings of the Ninth Conference on Machine Translation, 2024

Reranking Laws for Language Generation: A Communication-Theoretic Perspective.

António Farinhas, Haau-Sing Li, André F. T. Martins

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Non-Exchangeable Conformal Risk Control.

António Farinhas, Chrysoula Zerva, Dennis Ulmer, André F. T. Martins

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can Automatic Metrics Assess High-Quality Translations?

Sweta Agrawal, António Farinhas, Ricardo Rei, André F. T. Martins

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Aligning Neural Machine Translation Models: Human Feedback in Training and Inference.

Miguel Moura Ramos, Patrick Fernandes, António Farinhas, André F. T. Martins

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

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

An Empirical Study of Translation Hypothesis Ensembling with Large Language Models.

António Farinhas, José Guilherme Camargo de Souza, André F. T. Martins

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Sparse Communication via Mixed Distributions.

António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Multimodal Continuous Visual Attention Mechanisms.

António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020