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LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection

arXiv · Aug 8

MBZUAI researchers release LLM-DetectAIve, a tool for fine-grained detection of machine-generated text across four categories: human-written, machine-generated, machine-written then humanized, and human-written then machine-polished. The tool aims to address concerns about misuse of LLMs, especially in education and academia, by identifying attempts to obfuscate or polish content. LLM-DetectAIve is publicly accessible with code and a demonstration video provided.

Detecting and tracking the coronavirus is hard, but not impossible

KAUST · Jun 17

KAUST's Rapid Research Response Team (R3T), including Professor Samir Hamdan, is working to understand and counteract the spread of COVID-19. The team assembled a complete homemade, one-step RT-PCR test, comparable to commercial kits, with a patent-free manufacturing recipe. KAUST R3T is also researching faster, more accurate point-of-care tests, including a CRISPR-based molecular test. Why it matters: This research provides accessible testing solutions and contributes to more effective and rapid detection methods for combating viral spread in the region and globally.