Author

Tieke He

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#artificial intelligence Preprint Oct 2026

Towards One-for-All Foundation Model for Attributed Graph Clustering

Attributed graph clustering aims to discover node groups by jointly exploiting node attributes and graph topology, yet its unsupervised nature makes model selection and adaptation inherently difficult. Existing methods typically train and tune a separate model for each input graph, leading to costly and fragile pipelin...

Yunhui Liu, Xu-Dong Jin, Kang Zhang et al. · 0 citations

Conference Open access 2026

CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations

CoDA is introduced, a lightweight inference-time attention intervention that amplifies evidence-aligned value states, enabling more attention heads to transport reliable external evidence in a copy-encouraged manner and improves contextual faithfulness, reduces hallucination, and remains robust under long and noisy con...

Jinwei Shi, Qizhuo Xie, Qianzi Hou et al. · Annual Meeting of the Associ... · 0 citations