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cs.CL2026
Do LLM Embedding Spaces Recover Expert Structure?
Yixuan Zhu, Zhenke Duan, Fanghen Li
Pretrained text embeddings are increasingly used as representational maps, yet high category separability does not imply that their geometry recovers expert-defined structure. We s…
cs.CL2025
Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with Datasets
Jiqun Pan, Zhenke Duan, Jiani Tu +2
Industrial question-answering (QA) systems require higher safety and reliability than general-purpose dialogue models, as errors in high-risk scenarios such as equipment fault diag…
cs.CL2025
ECCoT: A Framework for Enhancing Effective Cognition via Chain of Thought in Large Language Model
Zhenke Duan, Jiqun Pan, Jiani Tu +2
In the era of large-scale artificial intelligence, Large Language Models (LLMs) have made significant strides in natural language processing. However, they often lack transparency…