GitHub

uqlm: Uncertainty Quantification for Language Models

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 ...
IEEE

Multiple Model Estimation via Variable Structure With Spatiotemporal Primal-Dual Projection

Abstract: This letter presents a robust multiple-model (MM) estimator based on variable structure multiple Gaussian importance filtering (VSMGIF) with spatiotemporal primal-dual projection. In VSMGIF, ...
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 ...
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 ...