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Tiancheng Zhang

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Open access Sep 2026

An Automated Artistic Image Aesthetic Evaluation Framework via Expert Knowledge Injection into Large Vision-Language Models

The proposed AEKI framework translates formal art principles into structured, machine-executable instructions and indicates that domain knowledge can be incorporated into LVLM evaluation through a transparent rule-based layer, supporting applications in digital curation, computational aesthetics, and art education.

Bo-Zhi Zhang, Ming-Xing Shao, Tiancheng Zhang et al. · 0 citations
Preprint Aug 2026

MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG

MEGRAG is an answer-aware framework that represents multi-hop reasoning as a path-structured multi-granular evidence graph and uses the resulting intermediate answer and prior reasoning to decide whether the Initial Query has been resolved.

Weidong Bao, Yingying Sun, Jun Yang et al. · 0 citations

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