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, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation
Program synthesis has been long studied with recent approaches focused on directly using
the power of Large Language Models (LLMs) to generate code. Programming benchmarks …
the power of Large Language Models (LLMs) to generate code. Programming benchmarks …
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 …
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 …
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 …
A systematic evaluation of large language models of code
Large language models (LMs) of code have recently shown tremendous promise in
completing code and synthesizing code from natural language descriptions. However, the …
completing code and synthesizing code from natural language descriptions. However, the …
Unixcoder: Unified cross-modal pre-training for code representation
Pre-trained models for programming languages have recently demonstrated great success
on code intelligence. To support both code-related understanding and generation tasks …
on code intelligence. To support both code-related understanding and generation tasks …
[PDF][PDF] DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.
Abstract Generative Pre-trained Transformer (GPT) models have exhibited exciting progress
in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the …
in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the …
Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x
Large pre-trained code generation models, such as OpenAI Codex, can generate syntax-
and function-correct code, making the coding of programmers more productive and our …
and function-correct code, making the coding of programmers more productive and our …