3 citations · 4 across the 3 of their papers we have counts for
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cs.AI2025★ 1 cited
Beyond Black-Box Benchmarking: Observability, Analytics, and Optimization of Agentic Systems
Dany Moshkovich, Hadar Mulian, Sergey Zeltyn +3
The rise of agentic AI systems, where agents collaborate to perform diverse tasks, poses new challenges with observing, analyzing and optimizing their behavior. Traditional evaluat…
cs.AI2024★ 3 cited
From Grounding to Planning: Benchmarking Bottlenecks in Web Agents
Segev Shlomov, Ben wiesel, Aviad Sela +3
General web-based agents are increasingly essential for interacting with complex web environments, yet their performance in real-world web applications remains poor, yielding extre…