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Arthur Brazinskas
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Conference and Workshop Papers
- 2024
- [c8]Giorgos Vernikos, Arthur Brazinskas, Jakub Adámek, Jonathan Mallinson, Aliaksei Severyn, Eric Malmi:
Small Language Models Improve Giants by Rewriting Their Outputs. EACL (1) 2024: 2703-2718 - 2023
- [c7]Jonathan Pilault, Xavier Garcia, Arthur Brazinskas, Orhan Firat:
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction. IJCNLP (1) 2023: 455-483 - 2022
- [c6]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) 2022: 1509-1523 - [c5]Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu:
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. SIGIR 2022: 3447-3450 - 2021
- [c4]Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Learning Opinion Summarizers by Selecting Informative Reviews. EMNLP (1) 2021: 9424-9442 - 2020
- [c3]Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Unsupervised Opinion Summarization as Copycat-Review Generation. ACL 2020: 5151-5169 - [c2]Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Few-Shot Learning for Opinion Summarization. EMNLP (1) 2020: 4119-4135 - 2018
- [c1]Arthur Brazinskas, Serhii Havrylov, Ivan Titov:
Embedding Words as Distributions with a Bayesian Skip-gram Model. COLING 2018: 1775-1789
Informal and Other Publications
- 2023
- [i9]Jonathan Pilault, Xavier Garcia, Arthur Brazinskas, Orhan Firat:
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction. CoRR abs/2301.10309 (2023) - [i8]Giorgos Vernikos, Arthur Brazinskas, Jakub Adámek, Jonathan Mallinson, Aliaksei Severyn, Eric Malmi:
Small Language Models Improve Giants by Rewriting Their Outputs. CoRR abs/2305.13514 (2023) - 2022
- [i7]Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer:
Efficient Few-Shot Fine-Tuning for Opinion Summarization. CoRR abs/2205.02170 (2022) - [i6]Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu:
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. CoRR abs/2206.01543 (2022) - 2021
- [i5]Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer:
Transductive Learning for Abstractive News Summarization. CoRR abs/2104.09500 (2021) - [i4]Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Learning Opinion Summarizers by Selecting Informative Reviews. CoRR abs/2109.04325 (2021) - 2020
- [i3]Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Few-Shot Learning for Abstractive Multi-Document Opinion Summarization. CoRR abs/2004.14884 (2020) - 2019
- [i2]Arthur Brazinskas, Mirella Lapata, Ivan Titov:
Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation. CoRR abs/1911.02247 (2019) - 2017
- [i1]Arthur Brazinskas, Serhii Havrylov, Ivan Titov:
Embedding Words as Distributions with a Bayesian Skip-gram Model. CoRR abs/1711.11027 (2017)
Coauthor Index
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