1 citations · 1 across the 8 of their papers we have counts for
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Diversity-Guided Search-Based Testing of Large Language Model Applications
Lev Sorokin, Ivan Vasilev, Ken E. Friedl +1
Large Language Model (LLM)-based applications are increasingly deployed across domains including customer service, education, and mobility. These systems are prone to inaccurate, f…
Automated structural testing of LLM-based agents: methods, framework, and case studies
Jens Kohl, Otto Kruse, Youssef Mostafa +9
LLM-based agents are rapidly being adopted across diverse domains. Since they interact with users without supervision, they must be tested extensively. Current testing approaches f…
STELLAR: A Search-Based Testing Framework for Large Language Model Applications
Lev Sorokin, Ivan Vasilev, Ken E. Friedl +1
Large Language Model (LLM)-based applications are increasingly deployed across various domains, including customer service, education, and mobility. However, these systems are pron…