137 citations · 525 across the 67 of their papers we have counts for
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cs.SE2026
ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Ignacio D. Lopez-Miguel, Andreas Happe, Jürgen Cito +3
Large Language Model (LLM)-based agents are increasingly used for complex tasks such as software testing and cybersecurity assessment. While these agents demonstrate impressive cap…
cs.SE2026
Declarative Scenario-based Testing with RoadLogic
Ezio Bartocci, Alessio Gambi, Felix Gigler +2
Scenario-based testing is a key method for cost-effective and safe validation of autonomous vehicles (AVs). Existing approaches rely on imperative scenario definitions, requiring d…