12 citations · 19 across the 10 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CY2025
LLM-Based Social Simulations Require a Boundary
Zengqing Wu, Run Peng, Takayuki Ito +2
This position paper argues that LLM-based social simulations require clear boundaries to make meaningful contributions to social science. While Large Language Models (LLMs) offer p…
cs.MA2025
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems
Zengqing Wu, Takayuki Ito
Consensus formation is pivotal in multi-agent systems (MAS), balancing collective coherence with individual diversity. Conventional LLM-based MAS primarily rely on explicit coordin…