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Author

Muyun Yang

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Nov 2026

Structure Pruning With LLMs for Knowledge Graph Question Answering

Knowledge Graph Question Answering (KGQA) requires multi-step reasoning over a large, structured search space, where free-form LLM planning can hallucinate intermediate subgraphs or query sketches and yield unexecutable reasoning. We propose READS, a constraint-guided discriminative reasoning framework that makes KGQA...

Mu-Fan Xu, Ke-Hai Chen, Xue-Feng Bai et al. · 0 citations
Conference Open access 2026

Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA

The proposed DR 2 identifies and localizes non-deterministic reasoning behaviors, uncovering the underlying semantic representation deficiencies in LLMs, and designs abductive reasoning-based preference learning, which promotes fine-grained semantic discrimination and mitigates non-deterministic reasoning errors.

Ge Liang, Mufan Xu, Kehai Chen et al. · 0 citations

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