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 SMS Spam Detection Using Deep Learning Models: A Comparative Study

Abstract: The rise in Machine Learning algorithms for identifying SMS spam has become popular due to a significant surge in unwanted text messages. Detecting SMS spam holds crucial importance for ...
IEEE

Enhanced Naïve Bayes Model for Intelligent and Secure Email Spam Detection Using Hybrid Feature Engineering and Blockchain-Based Verification

Abstract: Cyber security threat posed by spam emails is phishing, data breach, and system vulnerability. Spam detection using traditional Naïve Bayes classifiers has been used since their simplicity ...