As OEMs and machine builders continue to search for advantages in the digital age, the use of model-based design - an approach involving, at it's core, the ...

This repository contains code base for project titled Leveraging static analysis for evaluating code-generation models developed during the CSCI 544 Applied Natural Language Processing course, Fall ...

CodeJudge is a code evaluation framework that leverages LLMs to evaluate the semantic correctness of generated code without the need of test cases. Results show that CodeJudge significantly ...

Although large language models (LLMs) have demonstrated impressive performance in code generation, they still face challenges when dealing with complex code generation tasks. In the software ...

Deployable as an AI-powered coding assistant, CodeT5+ enhances developer productivity by offering text-to-code generation, code autocompletion, and code summarization capabilities. Built upon an ...

Furthermore, we developed a Knowledge Library tailored for Python programming contest problems and introduced the concept of Knowledge-Aware Code Generation (KareCoder). KareCoder bolsters the models’ ...

Meta recently open-sourced Code Llama, a code generation LLM which is based on the Llama 2 foundation model and carries the same community license. Code Llama was fine-tuned on 500B tokens of code and ...

With Code Llama 70B, enterprises have a choice to host a capable code generation model in their private environment. This gives them control and confidence in protecting their intellectual property.

Researchers from Google's Robotics team have open-sourced Code-as-Policies (CaP), a robot control method that uses a large language model (LLM) to generate robot-control code that achieves a user-spec ...