1 citations · 1 across the 5 of their papers we have counts for
5 papers
Efficient Agent Evaluation via Diversity-Guided User Simulation
Itay Nakash, George Kour, Ateret Anaby-Tavor
Large language models (LLMs) are increasingly deployed as customer-facing agents, yet evaluating their reliability remains challenging due to stochastic, multi-turn interactions. C…
Effective Red-Teaming of Policy-Adherent Agents
Itay Nakash, George Kour, Koren Lazar +3
Task-oriented LLM-based agents are increasingly used in domains with strict policies, such as refund eligibility or cancellation rules. The challenge lies in ensuring that the agen…
Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models
George Kour, Itay Nakash, Ateret Anaby-Tavor +1
As Large Language Models (LLMs) become deeply integrated into human life and increasingly influence decision-making, it's crucial to evaluate whether and to what extent they exhibi…
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
Itay Nakash, Nitay Calderon, Eyal Ben David +2
Large Language Models (LLMs) have shown impressive versatility as general purpose models. However, their broad applicability comes at a high-cost computational overhead, particular…
Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In
Itay Nakash, George Kour, Guy Uziel +1
Following the advancement of large language models (LLMs), the development of LLM-based autonomous agents has become increasingly prevalent. As a result, the need to understand the…