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Retrieval-augmented generation for ai-generated content: A survey
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …
advancements in model algorithms, scalable foundation model architectures, and the …
Generative software engineering
The rapid development of deep learning techniques, improved computational power, and
the availability of vast training data have led to significant advancements in pre-trained …
the availability of vast training data have led to significant advancements in pre-trained …
Evaluating large language models in class-level code generation
Recently, many large language models (LLMs) have been proposed, showing advanced
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …
On the effectiveness of large language models in domain-specific code generation
Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in
code generation. Despite significant achievements, they rely on enormous training data to …
code generation. Despite significant achievements, they rely on enormous training data to …
A catalog of data smells for coding tasks
Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …
software developers in coding tasks. The massive datasets used for training LLMs are often …
Compositional API recommendation for library-oriented code generation
Large language models (LLMs) have achieved exceptional performance in code generation.
However, the performance remains unsatisfactory in generating library-oriented code …
However, the performance remains unsatisfactory in generating library-oriented code …
Beyond functional correctness: Investigating coding style inconsistencies in large language models
Large language models (LLMs) have brought a paradigm shift to the field of code
generation, offering the potential to enhance the software development process. However …
generation, offering the potential to enhance the software development process. However …
Contextual api completion for unseen repositories using llms
Large language models have made substantial progress in addressing diverse code-related
tasks. However, their adoption is hindered by inconsistencies in generating output due to the …
tasks. However, their adoption is hindered by inconsistencies in generating output due to the …
Llm hallucinations in practical code generation: Phenomena, mechanism, and mitigation
Code generation aims to automatically generate code from input requirements, significantly
enhancing development efficiency. Recent large language models (LLMs) based …
enhancing development efficiency. Recent large language models (LLMs) based …