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Lin-Hao Luo

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#artificial intelligence Preprint Sep 2026

LADDER: Graph-Guided Diffusion Language Models for Efficient Multi-Hop Reasoning

Graph Retrieval-Augmented Generation (GraphRAG) has remarkably enhanced large language models on complex reasoning by leveraging structured entity topologies. However, existing frameworks heavily rely on standard autoregressive language models where the nature of inherent sequential generation severely hinders overall...

Sen-Lei Zhang, Lin-Hao Luo, Qian-Wen Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

WFM: Wiki Foundation Model for Complex Agentic Reasoning

Real-world agents fundamentally require persistent non-parametric knowledge for dynamic reasoning, i.e., long-term memory and retrieval-augmented generation. While graphs have shown reliable advantages in providing structured evidence, the sparse graph representations naturally restrict machine readability and semantic...

Jun-Nan Dong, Lin-Hao Luo, Sen-Lei Zhang et al. · 0 citations