2 citations · 3 across the 4 of their papers we have counts for
4 papers
Semantic Feature Analysis: Improving Agents Without Searching Over Rollouts
Roi Ben-Gigi, Yuval David, Fabiana Fournier +4
Ambiguity is an inherent property of natural-language agent specifications. When a system prompt leaves behaviour underdetermined, identical inputs follow divergent execution paths…
Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems
Dany Moshkovich, Sergey Zeltyn
Large Language Models (LLMs) are increasingly deployed within agentic systems - collections of interacting, LLM-powered agents that execute complex, adaptive workflows using memory…
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…
Empirical Confirmation (and Refutation) of Presumptions on Software
Joseph Gil, Maayan Goldstein, Dany Moshkovich
Code metrics are easy to define, but not so easy to justify. It is hard to prove that a metric is valid, i.e., that measured numerical values imply anything on the vaguely defined,…