Embedding Words as Distributions with a Bayesian Skip-gram Model. - Arthur Brazinskas; Serhii Havrylov; Ivan Titov 001 (COLING, 2018)

Unsupervised Multi-Document Opinion Summarization as Copycat-Review Generation. - Arthur Brazinskas; Mirella Lapata; Ivan Titov 001 (CoRR, 2019)

Unsupervised Opinion Summarization as Copycat-Review Generation. - Arthur Brazinskas; Mirella Lapata; Ivan Titov 001 (ACL, 2020)

Few-Shot Learning for Opinion Summarization. - Arthur Brazinskas; Mirella Lapata; Ivan Titov 001 (EMNLP (1), 2020)

Few-Shot Learning for Abstractive Multi-Document Opinion Summarization. - Arthur Brazinskas; Mirella Lapata; Ivan Titov 001 (CoRR, 2020)

Learning Opinion Summarizers by Selecting Informative Reviews. - Arthur Brazinskas; Mirella Lapata; Ivan Titov 001 (EMNLP (1), 2021)

Transductive Learning for Abstractive News Summarization. - Arthur Brazinskas; Mengwen Liu; Ramesh Nallapati; Sujith Ravi; Markus Dreyer (CoRR, 2021)

Efficient Few-Shot Fine-Tuning for Opinion Summarization. - Arthur Brazinskas; Ramesh Nallapati; Mohit Bansal; Markus Dreyer (NAACL-HLT (Findings), 2022)

Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. - Reinald Kim Amplayo; Arthur Brazinskas; Yoshi Suhara; Xiaolan Wang 001; Bing Liu 001 (SIGIR, 2022)

Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction. - Jonathan Pilault; Xavier Garcia; Arthur Brazinskas; Orhan Firat (IJCNLP (1), 2023)

Small Language Models Improve Giants by Rewriting Their Outputs. - Giorgos Vernikos; Arthur Brazinskas; Jakub Adámek; Jonathan Mallinson; Aliaksei Severyn; Eric Malmi (EACL (1), 2024)