[2108.07732] Program Synthesis with Large Language Models
Aug 16, 2021 · Our benchmarks are designed to measure the ability of these models to synthesize short Python programs from natural language descriptions. The Mostly Basic Programming Problems …
Program Synthesis with Large Language Models - Google Research
First, we introduce a new benchmark, Mostly Basic Programming Problems (MBPP), to measure the ability of these models to synthesize short Python programs from natural language descriptions.
Automatic source code summarization and generation are naturally complimentary oper-ations because they bridge the gap between natural-language text and executable programs, allowing users to flow …
On Program Synthesis and Large Language Models
Dec 3, 2024 · Much has been made of the abilities of the new developments in machine intelligence and in particular of what chatbots such as ChatGPT that are based on large language models (LLMs) are …
Program Synthesis with Large Language Models - Semantic Scholar
Aug 16, 2021 · This work trains and releases a family of large language models up to 16.1B parameters, called CODEGEN, on natural language and programming language data, and open source the …
How Well Do Large Language Models Perform in Program Synthesis?
Jul 23, 2024 · Large Language Models are transforming the field of program synthesis, offering unprecedented capabilities in automated code generation. By leveraging the power of LLMs, …
Enhancing Program Synthesis with Large Language Models Using …
Jun 30, 2024 · Currently, two AI techniques are leading the way: large language models (LLMs) and genetic programming (GP) methods—each with its strengths and weaknesses.
In this paper, we set out to investigate whether off-the-shelf large language models can solve formal program synthesis problems. We craft a library of prompts, which enables us to solve roughly 50% of …
How Good Are Large Language Models at Program Synthesis?
Jun 20, 2024 · In this blog, we will embark on the journey of understanding program synthesis with large language models, from its definition and functioning to the frontier study about empirical evaluations …
Grammar-obeying program synthesis: A novel approach using large ...
Mar 1, 2025 · Program synthesis seeks to streamline or automate programming tasks by offering a set of techniques that enable code creation from a high-level description of task objectives (such as …
Guiding Enumerative Program Synthesis with Large Language Models
Mar 6, 2024 · In this paper, we evaluate the abilities of LLMs to solve formal synthesis benchmarks by carefully crafting a library of prompts for the domain. When one-shot synthesis fails, we propose a …
A Comparison of Large Language Models and Genetic Programming …
Abstract: Large language models have recently become known for their ability to generate computer programs, especially through tools, such as GitHub Copilot, a domain where genetic programming …
Large language model - Wikipedia
A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. …
Program Synthesis with Large Language Models - GitHub Pages
Our benchmarks are designed to measure the ability of these models to synthesize short Python programs from natural language descriptions. The Mostly Basic Programming Problems (MBPP) …
How Good Are Large Language Models at Program Synthesis?
Jun 20, 2024 · In this blog, we will embark on the journey of understanding program synthesis with large language models, from its definition and functioning to the frontier study about empirical...