LLMs 利用图增强推理和知识整合能力

报道来源 [4]

1. arXiv cs.AI TIER_1 English(EN) · Runlin Lei, Xiaokui Xiao, Zhewei Wei · 2026-06-03 04:00

   大型语言模型结构化推理的视觉图脚手架

   arXiv:2606.02673v1 Announce Type: new Abstract: Graphs have been used to enhance large language models (LLMs) for structured reasoning, mostly as external knowledge sources are provided to models at test time. In this paper, we take a different view: the value of graphs for LLMs …

2. arXiv cs.AI TIER_1 English(EN) · Weiwei Ding, Zixuan Li, Long Bai, Zhuo Chen, Kun Su, Fei Wang, Xiaolong Jin, Jin Zhang, Jiafeng Guo, Xueqi Cheng · 2026-06-03 04:00

   Code-on-Graph：基于知识图谱的大语言模型进行迭代式程序化推理

   arXiv:2606.03705v1 Announce Type: new Abstract: Knowledge Graphs (KGs) are widely used to mitigate the limitations of Large Language Models (LLMs), such as outdated knowledge and hallucinations. Existing LLM-KG integration frameworks typically rely on predefined operators to retr…

3. arXiv cs.AI TIER_1 English(EN) · Xueqi Cheng · 2026-06-02 14:22

   Code-on-Graph：基于知识图谱的大语言模型进行迭代式程序化推理

   Knowledge Graphs (KGs) are widely used to mitigate the limitations of Large Language Models (LLMs), such as outdated knowledge and hallucinations. Existing LLM-KG integration frameworks typically rely on predefined operators to retrieve factual knowledge from KGs and inject it in…

4. arXiv cs.CL TIER_1 English(EN) · Jia Ao Sun, Hao Yu, Fabrizio Gotti, Fengran Mo, Yihong Wu, Yuchen Hui, Zhan Su, Lingfeng Xiao, Jian-Yun Nie · 2026-06-02 04:00

   Search-on-Graph：知识图谱上大型语言模型推理的迭代式信息导航

   arXiv:2510.08825v2 Announce Type: replace Abstract: Large language models (LLMs) augmented with knowledge graphs (KGs) offer a promising approach for knowledge-intensive reasoning. Central to this approach is the selection of appropriate reasoning paths in the KG. Yet, existing m…