5 papers
DiSCo: Making Absence Visible in Intelligent Summarization Interfaces
Eran Fainman, Hagit Ben Shoshan, Adir Solomon +1
Intelligent interfaces increasingly use large language models to summarize user-generated content, yet these summaries emphasize what is mentioned while overlooking what is missing…
Controlling Summarization Length Through EOS Token Weighting
Zeno Belligoli, Emmanouil Stergiadis, Eran Fainman +1
Controlling the length of generated text can be crucial in various text-generation tasks, including summarization. Existing methods often require complex model alterations, limitin…
Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations
Reda Igebaria, Eran Fainman, Sarai Mizrachi +2
User-generated reviews significantly influence consumer decisions, particularly in the travel domain when selecting accommodations. This paper contribution comprising two main elem…
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities
Fengjun Wang, Moran Beladev, Ofri Kleinfeld +6
Multi-label text classification is a critical task in the industry. It helps to extract structured information from large amount of textual data. We propose Text to Topic (Text2Top…
Online Budgeted Learning for Classifier Induction
Eran Fainman, Bracha Shapira, Lior Rokach +1
In real-world machine learning applications, there is a cost associated with sampling of different features. Budgeted learning can be used to select which feature-values to acquire…