Arthur Brazinskas

According to our database, Arthur Brazinskas authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Small Language Models Improve Giants by Rewriting Their Outputs.

Giorgos Vernikos, Arthur Brazinskas, Jakub Adámek, Jonathan Mallinson, Aliaksei Severyn, Eric Malmi

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction.

Jonathan Pilault, Xavier Garcia, Arthur Brazinskas, Orhan Firat

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

2022

Beyond Opinion Mining: Summarizing Opinions of Customer Reviews.

Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Efficient Few-Shot Fine-Tuning for Opinion Summarization.

Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer

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

2021

Transductive Learning for Abstractive News Summarization.

Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer

CoRR, 2021

Learning Opinion Summarizers by Selecting Informative Reviews.

Arthur Brazinskas, Mirella Lapata, Ivan Titov

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Few-Shot Learning for Abstractive Multi-Document Opinion Summarization.

Arthur Brazinskas, Mirella Lapata, Ivan Titov

CoRR, 2020

Few-Shot Learning for Opinion Summarization.

Arthur Brazinskas, Mirella Lapata, Ivan Titov

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Opinion Summarization as Copycat-Review Generation.

Arthur Brazinskas, Mirella Lapata, Ivan Titov

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation.

Arthur Brazinskas, Mirella Lapata, Ivan Titov

CoRR, 2019

2018

Embedding Words as Distributions with a Bayesian Skip-gram Model.

Arthur Brazinskas, Serhii Havrylov, Ivan Titov

Proceedings of the 27th International Conference on Computational Linguistics, 2018