MAS-KCL uses LLM agents to adaptively steer differential evolution for knowledge component graph learning and reports lower loss than four baselines on nine datasets.
User mod- eling and user-adapted interaction 12, 371–417 (2002)
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MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflow
MAS-KCL uses LLM agents to adaptively steer differential evolution for knowledge component graph learning and reports lower loss than four baselines on nine datasets.