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José Pombal
José Pombal
Unbabel Research
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Turning the tables: Biased, imbalanced, dynamic tabular datasets for ml evaluation
S Jesus, J Pombal, D Alves, A Cruz, P Saleiro, R Ribeiro, J Gama, ...
Advances in Neural Information Processing Systems 35, 33563-33575, 2022
202022
Scaling up cometkiwi: Unbabel-ist 2023 submission for the quality estimation shared task
R Rei, NM Guerreiro, J Pombal, D van Stigt, M Treviso, L Coheur, ...
arXiv preprint arXiv:2309.11925, 2023
72023
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions
J Pombal, AF Cruz, J Bravo, P Saleiro, MAT Figueiredo, P Bizarro
arXiv preprint arXiv:2207.06273, 2022
52022
Prisoners of their own devices: How models induce data bias in performative prediction
J Pombal, P Saleiro, MAT Figueiredo, P Bizarro
arXiv preprint arXiv:2206.13183, 2022
52022
Steering large language models for machine translation with finetuning and in-context learning
DM Alves, NM Guerreiro, J Alves, J Pombal, R Rei, JGC de Souza, ...
arXiv preprint arXiv:2310.13448, 2023
32023
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
DM Alves, J Pombal, NM Guerreiro, PH Martins, J Alves, A Farajian, ...
arXiv preprint arXiv:2402.17733, 2024
22024
Fairness-Aware data valuation for supervised learning
J Pombal, P Saleiro, MAT Figueiredo, P Bizarro
arXiv preprint arXiv:2303.16963, 2023
22023
Obtaining a generated dataset with a predetermined bias for evaluating algorithmic fairness of a machine learning model
SGP Jesus, DMR dos Santos Marques, JMPRC Pombal, AMF da Cruz, ...
US Patent 11,734,612, 2023
2023
fairbench: An Open Benchmark for Fair Machine Learning on Tabular Data
AF Cruz, S Jesus, D Alves, J Pombal, J Veiga, C Belém, J Bravo, ...
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