Author

Guoshenghui Zhao

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#natural language process... Apr 2026

HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models

HIVE, which compresses trajectory hidden states, selects informative step-layer evidence, and conditions a verifier through continuous prefix embeddings to produce a hallucination score and structured diagnostics, outperforms eight established baselines and a verifier-backbone-matched text-only control in all six setti...

Guoshenghui Zhao, Wei-Jie Zhao, Tan Yu · arXiv.org · 1 citation

#natural language process... Dec 2025

RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning

RapidUn, an influence-guided framework that converts cross-sample influence estimates into fixed sample-specific weights for weighted LoRA unlearning, is proposed, and complementary TOFU, semantic LLM-judge, and IFEval evaluations further support the effectiveness of influence-guided sample reweighting beyond the contr...

Guoshenghui Zhao, Huawei Lin, Wei-Jie Zhao · arXiv.org · 1 citation

#natural language process... Preprint Sep 2026

LOCKR: A Hidden-State Trajectory-Guided Planner for Detecting and Repairing Stable-but-Wrong Lock-In in Diffusion Language Models

Hidden diffusion trajectories are established as actionable signals for selective test-time reasoning repair and LOCKR, a hidden-state trajectory-guided planner that decides when to allocate additional computation, expands a structured set of targeted repair branches, and selects the most promising continuation using t...

Guoshenghui Zhao, Tan Yu, Wei-Jie Zhao · 0 citations