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 multi-step denoising, where hallucination signals may emerge throughout the trajectory rather than only in the final output. E…
cs.CL2026
RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
Guoshenghui Zhao, Huawei Lin, Weijie Zhao
Removing specific data influence from large language models (LLMs) remains challenging, as retraining is costly and existing approximate unlearning methods are often unstable. The…
cs.CR2024
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…