[HTML][HTML] Fine-tuning and prompt engineering for large language models-based code review automation

C Pornprasit, C Tantithamthavorn - Information and Software Technology, 2024 - Elsevier
Context: The rapid evolution of Large Language Models (LLMs) has sparked significant
interest in leveraging their capabilities for automating code review processes. Prior studies …

Data-Driven Evidence-Based Syntactic Sugar Design

D OBrien, R Dyer, T Nguyen, H Rajan - Proceedings of the IEEE/ACM …, 2024 - dl.acm.org
Programming languages are essential tools for developers, and their evolution plays a
crucial role in supporting the activities of developers. One instance of programming …

Exploring YouTube content creators' perspectives on generative AI in language learning: Insights through opinion mining and sentiment analysis

M Bal, AG Kara Aydemir, M Coşkun - PloS one, 2024 - journals.plos.org
This study aims to capture the stance of YouTube video content creators regarding the use
of generative AI for language learning. Opinion mining and sentiment analysis techniques …

The Impact of Prompt Programming on Function-Level Code Generation

R Khojah, FGO Neto, M Mohamad, P Leitner - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) are increasingly used by software engineers for code
generation. However, limitations of LLMs such as irrelevant or incorrect code have …

[PDF][PDF] Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects

H Nunes, E Figueiredo, L Rocha, S Nadi, F Ferreira… - homepages.dcc.ufmg.br
Large Language Models (LLMs) have gained attention for addressing coding problems, but
their effectiveness in fixing code maintainability remains unclear. This study evaluates LLMs …