1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2026
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,…
cs.LG2024
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
Shadi Iskander, Nachshon Cohen, Zohar Karnin +2
Training large language models (LLMs) for external tool usage is a rapidly expanding field, with recent research focusing on generating synthetic data to address the shortage of av…
cs.HC2021★ 1 cited
"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants
Chen Shani, Alexander Libov, Sofia Tolmach +3
Virtual assistants such as Amazon's Alexa, Apple's Siri, Google Home, and Microsoft's Cortana, are becoming ubiquitous in our daily lives and successfully help users in various dai…