AI-assisted coding: Experiments with GPT-4
RA Poldrack, T Lu, G Beguš - arXiv preprint arXiv:2304.13187, 2023 - arxiv.org
Artificial intelligence (AI) tools based on large language models have acheived human-level
performance on some computer programming tasks. We report several experiments using …
performance on some computer programming tasks. We report several experiments using …
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 …
What is it like to program with artificial intelligence?
Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can
generate code to solve a variety of problems expressed in natural language. This …
generate code to solve a variety of problems expressed in natural language. This …
A preliminary analysis on the code generation capabilities of gpt-3.5 and bard ai models for java functions
This paper evaluates the capability of two state-of-the-art artificial intelligence (AI) models,
GPT-3.5 and Bard, in generating Java code given a function description. We sourced the …
GPT-3.5 and Bard, in generating Java code given a function description. We sourced the …
Codegeex: A pre-trained model for code generation with multilingual benchmarking 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. In this paper …
and function-correct code, making the coding of programmers more productive. In this paper …
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 …
From copilot to pilot: Towards AI supported software development
AI-supported programming has arrived, as shown by the introduction and successes of large
language models for code, such as Copilot/Codex (Github/OpenAI) and AlphaCode …
language models for code, such as Copilot/Codex (Github/OpenAI) and AlphaCode …
Multipl-e: A scalable and extensible approach to benchmarking neural code generation
Large language models have demonstrated the ability to generate both natural language
and programming language text. Such models open up the possibility of multi-language …
and programming language text. Such models open up the possibility of multi-language …
Self-edit: Fault-aware code editor for code generation
Large language models (LLMs) have demonstrated an impressive ability to generate codes
on competitive programming tasks. However, with limited sample numbers, LLMs still suffer …
on competitive programming tasks. However, with limited sample numbers, LLMs still suffer …
In-ide code generation from natural language: Promise and challenges
A great part of software development involves conceptualizing or communicating the
underlying procedures and logic that needs to be expressed in programs. One major …
underlying procedures and logic that needs to be expressed in programs. One major …