2025
Spotlighter: Revisiting Prompt Tuning from a Representative Mining View
EMNLP 2025
CLIP’s success has demonstrated that prompt tuning can achieve robust cross-modal semantic alignment for tasks ranging from open-domain recognition to fine-grained classification. However, redundant or weakly relevant feature components introduce noise and incur unnecessary computational costs. In t