Quesma Releases OTelBench: Independent Benchmark Reveals Frontier LLMs Struggle with Real-World SRE Tasks

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

A Systematic Review on Detection, Repair, and Explanation of Vulnerabilities in Source Code Using Large Language Models

Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...
IEEE

Shadow-Analyzer: An Efficient Neural Networks-Based Ghost Objects Detection for Autonomous Vehicles

Abstract: Several studies have been conducted to investigate the security and reliability of object detection systems in Autonomous Vehicles (AVs), which rely on sensors such as cameras and Light ...
GitHub

[ACMMM 2025]DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...