Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Towards an understanding of large language models in software engineering tasks
Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …
due to their astounding performance in text generation and reasoning tasks. Derivative …
A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations
Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …
their remarkable capabilities in performing diverse tasks across various domains. However …
If llm is the wizard, then code is the wand: A survey on how code empowers large language models to serve as intelligent agents
The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …
only in size, but also in the fact that they are trained on a combination of natural language …
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study
The increasing development of large language models (LLMs) in code generation has
drawn significant attention among researchers. To enhance LLM-based code generation …
drawn significant attention among researchers. To enhance LLM-based code generation …
[HTML][HTML] Large language models meet next-generation networking technologies: A review
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …
information sharing, and connectivity. Traditional networks, relying on static configurations …
MCQGen: A large language model-driven MCQ generator for personalized learning
CN Hang, CW Tan, PD Yu - IEEE Access, 2024 - ieeexplore.ieee.org
In the dynamic landscape of contemporary education, the evolution of teaching strategies
such as blended learning and flipped classrooms has highlighted the need for efficient and …
such as blended learning and flipped classrooms has highlighted the need for efficient and …
BioCoder: a benchmark for bioinformatics code generation with large language models
X Tang, B Qian, R Gao, J Chen, X Chen… - …, 2024 - academic.oup.com
Pretrained large language models (LLMs) have significantly improved code generation. As
these models scale up, there is an increasing need for the output to handle more intricate …
these models scale up, there is an increasing need for the output to handle more intricate …
BioCoder: a benchmark for bioinformatics code generation with contextual pragmatic knowledge
Pre-trained language models like ChatGPT have significantly improved code generation. As
these models scale up, there is an increasing need for the output to handle more intricate …
these models scale up, there is an increasing need for the output to handle more intricate …
[HTML][HTML] An overview of recent advancements in hyperspectral imaging in the egg and hatchery industry
Conventional egg quality analysis and compliance monitoring methods have inherent
limitations, necessitating non-destructive techniques in the modern egg industry …
limitations, necessitating non-destructive techniques in the modern egg industry …