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cs.MA2026
Evaluating Collective Behaviour of Hundreds of LLM Agents
Richard Willis, Jianing Zhao, Yali Du +1
LLM-powered AI assistants acting on behalf of users can produce poor collective outcomes at scale. We introduce a framework for evaluating their emergent behaviour in social dilemm…
cs.MA2025
CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education
Jianing Zhao, Peng Gao, Jiannong Cao +5
Large Language Models (LLMs) have demonstrated considerable potential in improving coding education by providing support for code writing, explanation, and debugging. However, exis…