2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models
Guoshenghui Zhao, Tan Yu, Weijie Zhao
Diffusion large language models generate text through iterative denoising, exposing hidden trajectories that may contain reliability signals beyond the final output. We propose HIV…
cs.CL2025
RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
Guoshenghui Zhao, Huawei Lin, Weijie Zhao
Machine unlearning for large language models (LLMs) remains challenging because full retraining is costly, while approximate methods often struggle to remove targeted behaviors wit…
cs.CR2024★ 2 cited
Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions
Guoshenghui Zhao, Eric Song
The rapid advancement of large language models (LLMs) has revolutionized natural language processing, enabling applications in diverse domains such as healthcare, finance and educa…