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Weiqing Huang

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Open access 2026

GeoKR-Net: Geometry-Aware Representation Learning With Knowledge Anchoring for Sensitive Information Detection

With the increasing complexity of online communication, sensitive content frequently appears in variant, implicit, and context-dependent forms, posing significant challenges to conventional flat detection approaches. Domain-specific fine-tuning often induces representation anisotropy and semantic feature entanglement,...

Kangyuan Qin, Min Yu, Ran Liu et al. · 0 citations
Conference Open access 2026

The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness

GHOST is proposed, an efficient white-box framework for hallucination detection in LLMs that primarily target confused hallucinations marked by internal reasoning instability, while also capturing stub-born hallucinations characterized by premature layer-wise convergence as a complementary signal.

Yueheng Mao, Min Yu, Gengwang Li et al. · 0 citations

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