4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
François Pachet, Jean-Daniel Zucker
Generating synthetic populations from aggregate statistics is a core component of microsimulation, agent-based modeling, policy analysis, and privacy-preserving data release. Beyon…
cs.AI2025★ 4 cited
From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulation
Patrick Taillandier, Jean Daniel Zucker, Arnaud Grignard +4
The integration of Large Language Models (LLMs) into social simulation has generated enthusiasm but also raises methodological and epistemological challenges. This critical review…