José Pombal

According to our database1, José Pombal authored at least 22 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following.
CoRR, May, 2026

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models.
CoRR, April, 2026

EuroLLM-22B: Technical Report.
CoRR, February, 2026

MindGuard: Guardrail Classifiers for Multi-Turn Mental Health Support.
CoRR, February, 2026

A Context-aware Framework for Translation-mediated Conversations.
Trans. Assoc. Comput. Linguistics, 2026

2025
MindEval: Benchmarking Language Models on Multi-turn Mental Health Support.
CoRR, November, 2025

Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs.
CoRR, June, 2025

EuroLLM-9B: Technical Report.
CoRR, June, 2025

M-Prometheus: A Suite of Open Multilingual LLM Judges.
CoRR, April, 2025

Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models.
CoRR, April, 2025

Adding Chocolate to Mint : Mitigating Metric Interference in Machine Translation.
Trans. Assoc. Comput. Linguistics, 2025

2024
EuroLLM: Multilingual Language Models for Europe.
CoRR, 2024

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks.
CoRR, 2024

Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models.
Proceedings of the Ninth Conference on Machine Translation, 2024

xTower: A Multilingual LLM for Explaining and Correcting Translation Errors.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Fairness-Aware Data Valuation for Supervised Learning.
CoRR, 2023

Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions.
CoRR, 2022

Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction.
CoRR, 2022

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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