Zhi-Wei Ye

TDPO: two-stage differentiated prompt optimization for image classification

Prompt engineering has emerged as an effective paradigm for adapting vision-language models (VLMs) to image classification. Although large language models (LLMs) could generate rich visual descriptions, their hallucination often produces inaccurate or weakly discriminative class-specific prompts. Moreover, existing pro...

A novel immune cooperative hybrid breeding optimization algorithm for feature selection of intrusion detection system

Large Language Model-Assisted Distillation–Fusion Framework for Visual Emotion Recognition

A large language model-assisted distillation–fusion framework (VERLADF) is proposed, which introduces emotion instruction data generated by GPT to fine-tune a VLM, thereby enhancing its emotional semantic understanding capability and adaptively fuses predictions from the instruction-tuned VLM and the distillation modul...