GitHub

A real-time demonstration of learning Adaptable World Models with Latent Actions using the Agno framework.

The development of this repository was inspired by the paper "AdaWorld: Learning Adaptable World Models with Latent Actions". To read the entire paper, visit https ...
GitHub

A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
IEEE

Python Source Code Vulnerability Detection Based on CodeBERT Language Model

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...