← Search

Lei Tang

2 accepted papers

2025

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models

AAAI 2025technical

Recently, Large Language Models (LLMs) with in-context learning have demonstrated remarkable potential in handling neural machine translation. However, existing evidence shows that LLMs are prompt-sensitive and it is sub-optimal to apply the fixed prompt to any input for downstream machine translati…

Cited by 0SourcePDFScholar
2025

Multi-Objective Representation based Dynamic Prototype Learning for Unsupervised DCE-MRI Breast Tumor Segmentation

ICASSP 2025accepted

Unsupervised segmentation is a potential means to detect the breast tumors from DCE-MRI without using any annotated images, which can provide a coarse prior for several downstream tasks. However, the existing unsupervised segmentation methods are prone to collapse due to the presence of large backgr…

Cited by 0SourceScholar