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Yi-Li Wang

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Jul 2026

HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document

Question answering (QA) over complex documents requires models to retrieve and integrate evidence distributed across distant document regions and modalities. Multimodal GraphRAG provides a promising direction by organizing document evidence with graph structures. However, existing methods often suffer from unreliable c...

Xingbo He, Yi-Li Wang, Wenqi Fan et al. · 1 citation
Review Aug 2026

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolution has produced paradigms including Prompt Engineering to elicit model capabilities, Context Engineering to manage information access, Harness Engineering to organize external tools and resources, and Loo...

Yuyuan Feng, Zhishang Xiang, Chao Yang et al. · 0 citations
Preprint Jul 2026

CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection

CORE introduces a decorrelated feature alignment module to directly align heterogeneous features into a unified representation space, which retains their semantic information, and formulates unified TAD as an in-context reconstruction problem, eliminating the need for labeled or synthesized anomalies.

Yunfeng Zhao, Qingfeng Chen, Yue Tan et al. · 0 citations
Preprint Jul 2026

DeMTS: Denoising Trajectories as Multivariate Time Series for Hallucination Detection in Diffusion Language Models

A D-LLM hallucination detection framework that formulates the Denoising trajectories as Multivariate Time Series over learnable latent variables (DeMTS for short) that outperforms existing hallucination detection methods while maintaining strong robustness, efficiency, and cross-task transferability.

Xin Zhang, Yili Wang, Yue Tan et al. · 0 citations

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