6 citations · 6 across the 5 of their papers we have counts for
5 papers
JSON Whisperer: Efficient JSON Editing with LLMs
Sarel Duanis, Asnat Greenstein-Messica, Eliya Habba
Large language models (LLMs) can modify JSON documents through natural language commands, but current approaches regenerate entire structures for each edit, resulting in computatio…
Enhancing Forecasting with a 2D Time Series Approach for Cohort-Based Data
Yonathan Guttel, Orit Moradov, Nachi Lieder +1
This paper introduces a novel two-dimensional (2D) time series forecasting model that integrates cohort behavior over time, addressing challenges in small data environments. We dem…
Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications
Oren Sultan, Alex Khasin, Guy Shiran +2
We present a practical distillation approach to fine-tune LLMs for invoking tools in real-time applications. We focus on visual editing tasks; specifically, we modify images and vi…
Automatic Machine Learning Derived from Scholarly Big Data
Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz +2
One of the challenging aspects of applying machine learning is the need to identify the algorithms that will perform best for a given dataset. This process can be difficult, time c…
New Item Consumption Prediction Using Deep Learning
Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica +2
Recommendation systems have become ubiquitous in today's online world and are an integral part of practically every e-commerce platform. While traditional recommender systems use c…