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Yu-Xing Tian

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Review Open access 2026

Extracting creativity from hallucination: Rethinking large language models

Hallucinations in large language models (LLMs) are always seen as limitations. However, could they also be a source of creativity? This survey explores this possibility, suggesting that hallucinations may contribute to LLM application by fostering creativity. Hallucinations are not treated as creativity perse; rather,...

Xuhui Jiang, Yi Liu, Ying-Han Shen et al. · 0 citations
Conference Open access Sep 2026

Unsupervised Anomaly Detection in Dynamic Graphs via Compatibility Modeling and Boundary Learning

BAD is proposed, an unsupervised framework for anomaly detection in continuous-time dynamic graphs that represents nodes with learnable identity embeddings and performs pairwise compatibility modeling via cross-attention between each destination node and the source’s recent neighbors, enabling direct characterization o...

Jia-Chi Luo, Sha-Meng Wen, Zi-Yan Qiu et al. · 0 citations

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