Abstract: The quick expansion of software development necessitates effective tools for automating monotonous coding jobs, yet existing solutions frequently fall short in producing accurate codes from ...

This project is no longer actively maintained. While the code remains available for reference and use, no updates, bug fixes, or new features will be provided. Users are encouraged to seek alternative ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: This paper addresses low-efficiency and high-randomness node sampling in RRT - Connect for path planning by proposing a quadratic optimization JP - RRT algorithm using jump point sampling.