2 papers
cs.LG2026
Interpreting and Steering LLM Agents for Social Simulations
Jiayue Gaveal Fan, Arul Murugan, Shreyas Krishnan +1
Simulations based on large language models (LLMs) have proven to be powerful for understanding human behavior, making them valuable additions to the social scientific toolkit. Howe…
cs.AI2026
When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems
Yangxiao Jiang, Jiarun Fan, Mingcong Xu +6
Multi-Agent Systems (MAS) have recently moved from static workflows toward dynamically generated collaboration topologies. However, existing topology generation methods rely primar…