Matteo Gabburo

According to our database, Matteo Gabburo authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multilingual Training and Evaluation Resources for Vision-Language Models.

Daniela Baiamonte, Elena Fano, Matteo Gabburo, Stefano Simonazzi, Leonardo Rigutini, Andrea Zugarini

CoRR, April, 2026

2025

Loss and Reward Functions for Generative Question Answering Systems.

Matteo Gabburo

PhD thesis, 2025

2024

Datasets for Multilingual Answer Sentence Selection.

Matteo Gabburo, Stefano Campese, Federico Agostini, Alessandro Moschitti

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Measuring Retrieval Complexity in Question Answering Systems.

Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References.

Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators.

Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Effective Pre-Training Objectives for Transformer-based Autoencoders.

Luca Di Liello, Matteo Gabburo, Alessandro Moschitti

CoRR, 2022

Effective Pretraining Objectives for Transformer-based Autoencoders.

Luca Di Liello, Matteo Gabburo, Alessandro Moschitti

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Knowledge Transfer from Answer Ranking to Answer Generation.

Matteo Gabburo, Rik Koncel-Kedziorski, Siddhant Garg, Luca Soldaini, Alessandro Moschitti

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Efficient pre-training objectives for Transformers.

Luca Di Liello, Matteo Gabburo, Alessandro Moschitti

CoRR, 2021