Browsing: soft

On November 12, 2026, researchers from ChapsVision and the Université Grenoble Alpes published SPADE: Soft Prompts for Ai-text DEtection, a framework that applies learned soft prompts and pointwise mutual information to identify machine-generated text across diverse LLM generators. The preprint addresses persistent detector failures in academic integrity and peer review by improving out-of-distribution robustness without…