Author

Tao Wang

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#artificial intelligence Preprint Sep 2026

Meet, Compare, or Abstain: LatWeave for Deterministic Multi-Hop Question Answering on Knowledge Lattices

Probabilistic question-answering systems -- whether large language models (LLMs) themselves, retrieval-augmented generation (RAG), or trained multi-hop retrievers -- conflate"what is known"and"how to reason"into a single probabilistic computation: hallucination cannot be eradicated, evidence chains cannot be audited, a...

Yu Ren, Shao-Heng Fan, Tao Wang et al. · 0 citations

Open access Jul 2026

AdaKG-RAG: Adaptive KG-guided retrieval-augmented generation with hypothesis-and-verification retrieval for multi-hop question answering

Experiments show that AdaKG-RAG improves both answer quality and evidence retrieval quality over representative RAG and KG-RAG baselines, and indicates that HVR contributes the largest performance gain, while graph-based modules provide complementary improvements in evidence coverage and organization.

Mengsi Yuan, Tao Wang, Yurong Qian · Journal of King Saud Univers... · 0 citations