1 code implementation • 27 Feb 2024 • Duarte M. Alves, José Pombal, Nuno M. Guerreiro, Pedro H. Martins, João Alves, Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, Pierre Colombo, José G. C. de Souza, André F. T. Martins
While general-purpose large language models (LLMs) demonstrate proficiency on multiple tasks within the domain of translation, approaches based on open LLMs are competitive only when specializing on a single task.
no code implementations • 20 Oct 2023 • Duarte M. Alves, Nuno M. Guerreiro, João Alves, José Pombal, Ricardo Rei, José G. C. de Souza, Pierre Colombo, André F. T. Martins
Experiments on 10 language pairs show that our proposed approach recovers the original few-shot capabilities while keeping the added benefits of finetuning.
no code implementations • 21 Sep 2023 • Ricardo Rei, Nuno M. Guerreiro, José Pombal, Daan van Stigt, Marcos Treviso, Luisa Coheur, José G. C. de Souza, André F. T. Martins
Our team participated on all tasks: sentence- and word-level quality prediction (task 1) and fine-grained error span detection (task 2).
no code implementations • 29 Mar 2023 • José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
Data valuation is a ML field that studies the value of training instances towards a given predictive task.
2 code implementations • 24 Nov 2022 • Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
The suite was generated by applying state-of-the-art tabular data generation techniques on an anonymized, real-world bank account opening fraud detection dataset.
no code implementations • 13 Jul 2022 • José Pombal, André F. Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
The unparalleled ability of machine learning algorithms to learn patterns from data also enables them to incorporate biases embedded within.
no code implementations • 27 Jun 2022 • José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
The unparalleled ability of machine learning algorithms to learn patterns from data also enables them to incorporate biases embedded within.