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.
In: Proceedings of the 16th Interna- tional Conference on Educational Data Mining, pp
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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.