GitHub

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves

Offical implementation of the paper Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves. Abstract Prompt tuning (PT) has long been recognized as an ...
GitHub

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Diffusion Transformers (DiT) have become a leading architecture in image generation. However, the quadratic complexity of attention mechanisms, which are responsible for modeling token-wise ...
IEEE

Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection

Abstract: Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is ...