Google’s spam update vs. AI affiliate sites: An SEO experiment

An experiment with AI affiliate sites shows how Google’s spam systems treat low-trust, programmatic SEO — and why it can’t stand alone.
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

Enhancing Email Spam Detection Using Advanced AI Techniques

Abstract: This review paper investigates the advances of artificial intelligence (AI) in the field of email spam detection. The study addresses AI-based techniques used for email spam filtering by ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
IEEE

Spam Email Detection using K-Nearest Neighbors: An Enhanced Approach

Abstract: Spam emails represent a large portion of global email traffic and pose several risks, such as phishing, fraud, and malware attacks. Traditional spam filters are ineffective in combating spam ...