Add to ORKGRichardson K, Zarrieß S, Kuhn J. The Code2Text Challenge: Text Generation in Source Code Libraries. In: Proceedings of INLG 2017 (shared task track). Accepted
The aim of this thesis was to design and implement system for code generation from textual descripti...
Software development requires vast knowledge of different programming tools which cannot be kept in ...
Creating software is a process of refining a concept to an implementation. This process consists of ...
Code generation is a longstanding challenge, aiming to generate a code snippet based on a natural la...
The research field of Natural Language Generation offers practitioners a wide range of techniques fo...
Programs that auto-generate code generally produce output from a combination of fixed text and varia...
To learn text understanding models with millions of parameters one needs massive amounts of data. In...
Thesis (Ph.D.)--University of Washington, 2019Models that automatically map natural language (NL) to...
We present a new code assistance tool for integrated development environments. Our system accepts fr...
This article explores the natural language generation capabilities of large language models with app...
Developing models that can automatically generate detailed code explanation can greatly benefit soft...
Open software repositories make large amounts of source code publicly available. Potentially, this s...
Text Generation aims to produce plausible and readable text in a human language from input data. The...
A code generation system generates programming language code based on an input natural language desc...
Large language models have demonstrated the ability to condition on and generate both natural langua...
The aim of this thesis was to design and implement system for code generation from textual descripti...
Software development requires vast knowledge of different programming tools which cannot be kept in ...
Creating software is a process of refining a concept to an implementation. This process consists of ...
Code generation is a longstanding challenge, aiming to generate a code snippet based on a natural la...
The research field of Natural Language Generation offers practitioners a wide range of techniques fo...
Programs that auto-generate code generally produce output from a combination of fixed text and varia...
To learn text understanding models with millions of parameters one needs massive amounts of data. In...
Thesis (Ph.D.)--University of Washington, 2019Models that automatically map natural language (NL) to...
We present a new code assistance tool for integrated development environments. Our system accepts fr...
This article explores the natural language generation capabilities of large language models with app...
Developing models that can automatically generate detailed code explanation can greatly benefit soft...
Open software repositories make large amounts of source code publicly available. Potentially, this s...
Text Generation aims to produce plausible and readable text in a human language from input data. The...
A code generation system generates programming language code based on an input natural language desc...
Large language models have demonstrated the ability to condition on and generate both natural langua...
The aim of this thesis was to design and implement system for code generation from textual descripti...
Software development requires vast knowledge of different programming tools which cannot be kept in ...
Creating software is a process of refining a concept to an implementation. This process consists of ...