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Wenxin Luo

2 accepted papers

2025

Less Attention is More: Prompt Transformer for Generalized Category Discovery

CVPR 2025poster

Generalized Category Discovery (GCD) typically relies on the pre-trained Vision Transformer (ViT) to extract features from a global receptive field, followed by contrastive learning to simultaneously classify unlabeled known classes and unknown classes without priors. Owing to the deficiency in the…

2025

TAPO: Task-Referenced Adaptation for Prompt Optimization

ICASSP 2025accepted

Prompt engineering can significantly improve the performance of large language models (LLMs), with automated prompt optimization (APO) gaining significant attention due to the time-consuming and laborious nature of manual prompt design. However, much of the existing work in APO overlooks task-specif…

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