Author

Lin-Hao Luo

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#artificial intelligence Preprint Sep 2026

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

LADDER is a novel framework that bridges diffusion language modeling with GraphRAG through graph-guided parallel decoding through graph-guided parallel decoding, and proposes an event-driven self-clocking retrieval, inspired by the key insight that 88% of target entities emerge early in the partially denoised state.

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