António Farinhas

According to our database, António Farinhas authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation.

Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Rui Alves Faria, Patrick Fernandes, Nuno Miguel Guerreiro, 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

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation.

Gonçalo Rui Alves Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José G. C. de Souza, 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

CoRR, 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 Martins

Proceedings of the Ninth Conference on Machine Translation, 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 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