23 citations · 25 across the 4 of their papers we have counts for
4 papers
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
Alireza Daghighfarsoodeh, Chung-Yu Wang, Hamed Taherkhani +4
Deep learning (DL) has revolutionized areas such as computer vision, natural language processing, and more. However, developing DL systems is challenging due to the complexity of D…
Task-oriented Prompt Enhancement via Script Generation
Chung-Yu Wang, Alireza DaghighFarsoodeh, Hung Viet Pham
Large Language Models (LLMs) have demonstrated remarkable abilities across various tasks, leveraging advanced reasoning. Yet, they struggle with task-oriented prompts due to a lack…
Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
Chung-Yu Wang, Alireza DaghighFarsoodeh, Hung Viet Pham
Large Language Models (LLMs) have demonstrated impressive performance in software engineering tasks. However, improving their accuracy in generating correct and reliable code remai…
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
Kailun Jin, Chung-Yu Wang, Hung Viet Pham +1
Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scena…