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

Lightweight Semantic Feature Extraction Model With Direction Awareness for Aerial Traffic Object Detection

Abstract: The detection of traffic objects in aerial scenes holds significant application potential in both military and civilian sectors. However, current aerial traffic object detection techniques ...
GitHub

SCONE: Scaling Embedding Layers in Language Models

This implementation is part of LLMs Research, where I break down ~100 papers weekly and build the ones worth building. This repository contains an implementation of the SCONE (Scalable, Contextualized ...
IEEE

SMN-YOLO: Lightweight YOLOv8-Based Model for Small Object Detection in Remote Sensing Images

Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...