Similar Items: Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
- A multi-language perspective on the robustness of LLM code generation
- Machine learning, deep learning, or large language models: An empirical study on multi-label requirements classification
- Diversity’s role in collaboration and conflict: a case-study of React.js
- Echoes of AI: Investigating the downstream effects of AI assistants on software maintainability
- An empirical evaluation of white-box and black-box test case prioritization techniques in CPSs modeled in Simulink
- A Two-Stage Noisy Pre-training and Fine-tuning Pipeline for Low-Resource Named Entity Recognition in Shahmukhi Punjabi