coevolution

This paper introduces CoevolveSim, a framework for studying belief diffusion among networked generalist and specialist LLM agents, showing that specialist models and network structure affect consensus and influence dynamics.

Proposes the Human-AI Coevolution Dynamics Framework (HACD-H) as a formal model of human-AI interaction, integrating emotional adaptation, relational organization, social memory, and personality consistency. Results show social intelligence emerges from long-term social cognitive coevolution.

EVOCHAMBER is a training-free, multi-agent test-time evolution framework that enables emergent specialization through collaborative reflection and asymmetric knowledge transfer across individual, team, and population scales, achieving significant improvements on math, code, and reasoning tasks.