10 citations · 10 across the 6 of their papers we have counts for
7 papers
Task-Centric Acceleration of Small-Language Models
Dor Tsur, Sharon Adar, Ran Levy
Small language models (SLMs) have emerged as efficient alternatives to large language models for task-specific applications. However, they are often employed in high-volume, low-la…
HotelQuEST: Balancing Quality and Efficiency in Agentic Search
Guy Hadad, Shadi Iskander, Oren Kalinsky +3
Agentic search has emerged as a promising paradigm for adaptive retrieval systems powered by large language models (LLMs). However, existing benchmarks primarily focus on quality,…
The Power of Summary-Source Alignments
Ori Ernst, Ori Shapira, Aviv Slobodkin +5
Multi-document summarization (MDS) is a challenging task, often decomposed to subtasks of salience and redundancy detection, followed by text generation. In this context, alignment…
Multi-Review Fusion-in-Context
Aviv Slobodkin, Ori Shapira, Ran Levy +1
Grounded text generation, encompassing tasks such as long-form question-answering and summarization, necessitates both content selection and content consolidation. Current end-to-e…
Identifying Helpful Sentences in Product Reviews
Iftah Gamzu, Hila Gonen, Gilad Kutiel +2
In recent years online shopping has gained momentum and became an important venue for customers wishing to save time and simplify their shopping process. A key advantage of shoppin…
Massive Multi-Document Summarization of Product Reviews with Weak Supervision
Ori Shapira, Ran Levy
Product reviews summarization is a type of Multi-Document Summarization (MDS) task in which the summarized document sets are often far larger than in traditional MDS (up to tens of…