3 citations · 8 across the 8 of their papers we have counts for
9 papers
An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation
Matan Orbach, Ohad Eytan, Benjamin Sznajder +12
Optimizing Retrieval-Augmented Generation (RAG) configurations for specific tasks is a complex and resource-intensive challenge. Motivated by this challenge, frameworks for RAG hyp…
JuStRank: Benchmarking LLM Judges for System Ranking
Ariel Gera, Odellia Boni, Yotam Perlitz +3
Given the rapid progress of generative AI, there is a pressing need to systematically compare and choose between the numerous models and configurations available. The scale and ver…
SCLP-Simplex Algorithm for Robust Fluid Processing Networks
Evgeny Shindin, Roi Ben Gigi, Odellia Boni
Fluid models provide a tractable approach to approximate multiclass processing networks. This tractability is a due to the fact that optimal control for such models is a solution o…
InspectorRAGet: An Introspection Platform for RAG Evaluation
Kshitij Fadnis, Siva Sankalp Patel, Odellia Boni +4
Large Language Models (LLM) have become a popular approach for implementing Retrieval Augmented Generation (RAG) systems, and a significant amount of effort has been spent on build…
A Robust Server-Effort Policy for Fluid Processing Networks
Harold Ship, Evgeny Shindin, Odellia Boni +1
Multi-Class Processing Networks describe a set of servers that perform multiple classes of jobs on different items. A useful and tractable way to find an optimal control for such a…
HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles
Odellia Boni, Guy Feigenblat, Guy Lev +3
We present HowSumm, a novel large-scale dataset for the task of query-focused multi-document summarization (qMDS), which targets the use-case of generating actionable instructions…
A Study of Human Summaries of Scientific Articles
Odellia Boni, Guy Feigenblat, Doron Cohen +2
Researchers and students face an explosion of newly published papers which may be relevant to their work. This led to a trend of sharing human summaries of scientific papers. We an…
A Summarization System for Scientific Documents
Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat +15
We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, explorat…
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization
Haggai Roitman, Guy Feigenblat, David Konopnicki +2
We propose Dual-CES -- a novel unsupervised, query-focused, multi-document extractive summarizer. Dual-CES is designed to better handle the tradeoff between saliency and focus in s…