2 papers
cs.CL2025
PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
Hui Xiang, Jinqiao Shi, Ting Zhang +3
Active learning (AL) aims to optimize model training and reduce annotation costs by selecting the most informative samples for labeling. Typically, AL methods rely on the empirical…
cs.CL2024
Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
Yong Ma, Senlin Luo, Yu-Ming Shang +2
Researchers have investigated the potential of leveraging pre-trained language models, such as CodeBERT, to enhance source code-related tasks. Previous methodologies have relied on…