3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CY2025★ 3 cited
Lessons from complexity theory for AI governance
Noam Kolt, Michal Shur-Ofry, Reuven Cohen
The study of complex adaptive systems, pioneered in physics, biology, and the social sciences, offers important lessons for AI governance. Contemporary AI systems and the environme…
cs.CL2024★ 1 cited
Growing a Tail: Increasing Output Diversity in Large Language Models
Michal Shur-Ofry, Bar Horowitz-Amsalem, Adir Rahamim +1
How diverse are the outputs of large language models when diversity is desired? We examine the diversity of responses of several language models to questions with multiple possible…