SOLVING COLD STARTS IN ADAPTIVE TESTING

Summary from the TLDR AI newsletter

The "cold start" problem in adaptive testing is where initial questions poorly match examinees' abilities. To combat this, researchers have developed the Diffusion Cognitive States Transfer Framework (DCSR), which uses diffusion models to leverage prior learning data across domains.