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Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation
Xiaoming Zhai
https://arxiv.org/abs/2509.14554 https://

Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation
The rise of generative large language models (LLMs) has opened new opportunities for automating knowledge representation through concept maps, a long-standing pedagogical tool valued for fostering meaningful learning and higher-order thinking. Traditional construction of concept maps is labor-intensive, requiring significant expertise and time, limiting their scalability in education. This review systematically synthesizes the emerging body of research on LLM-enabled concept map generation, foc…

SU(4) Kondo Lattice in Semiconductor Moir\'e Materials
Sunghoon Kim
https://arxiv.org/abs/2509.18247 https://arxiv.org/pdf/2509.18247