C-DGPA: Class-Centric Dual-Alignment Generative Prompt Adaptation

The article introduces C-DGPA, a novel approach for adapting generative prompts. The focus on class-centric dual-alignment suggests an attempt to improve prompt effectiveness by considering both class-level and potentially instance-level information. The use of 'generative' implies the method is designed for models that generate text or other outputs. Further analysis would require access to the full paper to understand the specific techniques and their performance.