This paper explores the possibility of large language models as a fourth generation programming language compiler. This is based on the idea that large language models are able to translate a natural language specification into a program written in a particular programming language. In other words, just as high-level languages provided an additional language abstraction to assembly code, large language models can provide an additional language abstraction to high-level languages. This interpretation allows large language models to be thought of through the lens of compiler theory, leading to insightful conclusions
The purpose of this research was to investigate the generation of machine code from high-level progr...
Generic language technology and compiler construction techniques are a prerequisite to build analysi...
In the rapidly advancing field of large language model (LLM) research, platforms like Stack Overflow...
High-level programming languages have been developed to simplify the communication problem between t...
Large language models (LMs) of code have recently shown tremendous promise in completing code and sy...
Compilers are the critical translators that convert a human-readable program into the code understoo...
Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engine...
This paper reports on the benefits of largescale statistical language modeling in machine translatio...
Large language models (LLMs)—machine learning algorithms that can recognize, summarize, translate,...
This article explores the natural language generation capabilities of large language models with app...
No two languages are alike, every language has their own unique style and methodology. If we talk ab...
As computer technology matures, our growing ability to create large systems is leading to basic chan...
Current methodology for compiler construction evolved from the need to release programmers form the ...
Published version of a chapter in the book: Generative and Transformational Techniques in Software E...
Combining attribute grammars with object-oriented programming supports a new kind of declarative pro...
The purpose of this research was to investigate the generation of machine code from high-level progr...
Generic language technology and compiler construction techniques are a prerequisite to build analysi...
In the rapidly advancing field of large language model (LLM) research, platforms like Stack Overflow...
High-level programming languages have been developed to simplify the communication problem between t...
Large language models (LMs) of code have recently shown tremendous promise in completing code and sy...
Compilers are the critical translators that convert a human-readable program into the code understoo...
Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engine...
This paper reports on the benefits of largescale statistical language modeling in machine translatio...
Large language models (LLMs)—machine learning algorithms that can recognize, summarize, translate,...
This article explores the natural language generation capabilities of large language models with app...
No two languages are alike, every language has their own unique style and methodology. If we talk ab...
As computer technology matures, our growing ability to create large systems is leading to basic chan...
Current methodology for compiler construction evolved from the need to release programmers form the ...
Published version of a chapter in the book: Generative and Transformational Techniques in Software E...
Combining attribute grammars with object-oriented programming supports a new kind of declarative pro...
The purpose of this research was to investigate the generation of machine code from high-level progr...
Generic language technology and compiler construction techniques are a prerequisite to build analysi...
In the rapidly advancing field of large language model (LLM) research, platforms like Stack Overflow...