A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt
Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …
from society. As a result, many individuals have become interested in related resources and …
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 …
A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Starcoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the responsible
development of Large Language Models for Code (Code LLMs), introduces StarCoder and …
development of Large Language Models for Code (Code LLMs), introduces StarCoder and …
An analysis of the automatic bug fixing performance of chatgpt
To support software developers in finding and fixing software bugs, several automated
program repair techniques have been introduced. Given a test suite, standard methods …
program repair techniques have been introduced. Given a test suite, standard methods …
Codet5+: Open code large language models for code understanding and generation
Large language models (LLMs) pretrained on vast source code have achieved prominent
progress in code intelligence. However, existing code LLMs have two main limitations in …
progress in code intelligence. However, existing code LLMs have two main limitations in …
Automatic generation of programming exercises and code explanations using large language models
This article explores the natural language generation capabilities of large language models
with application to the production of two types of learning resources common in …
with application to the production of two types of learning resources common in …
Automated program repair in the era of large pre-trained language models
Automated Program Repair (APR) aims to help developers automatically patch software
bugs. However, current state-of-the-art traditional and learning-based APR techniques face …
bugs. However, current state-of-the-art traditional and learning-based APR techniques face …
Codegen: An open large language model for code with multi-turn program synthesis
Program synthesis strives to generate a computer program as a solution to a given problem
specification, expressed with input-output examples or natural language descriptions. The …
specification, expressed with input-output examples or natural language descriptions. The …
Coderl: Mastering code generation through pretrained models and deep reinforcement learning
Program synthesis or code generation aims to generate a program that satisfies a problem
specification. Recent approaches using large-scale pretrained language models (LMs) have …
specification. Recent approaches using large-scale pretrained language models (LMs) have …