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基于常识知识图谱与关系预测的动态知识路径引导对话生成研究
本文创新性地提出了一种基于动态知识路径的目标导向对话系统(target-guided dialog system),通过常识知识图谱(ConceptNet)和关系预测(relation prediction)实现多跳推理(multi-hop reasoning)和双向搜索(bi-directional search),解决了传统大语言模型(LLM)对话系统被动 ...
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