Understanding Generalization in Role-Playing Models via Information Theory

This project is a very early-stage research artifact (4 days old) associated with an arXiv paper. Its primary value lies in the theoretical contribution of using information theory to quantify RPM degradation—a more rigorous approach than the current industry standard of 'LLM-as-a-judge.' While the framework addresses a critical gap in evaluating persona-consistent models, it currently lacks the community adoption or software infrastructure (0 stars) to be considered defensible. The 5 forks indicate immediate interest from the research community, but the 'moat' is purely intellectual until it is integrated into standard evaluation pipelines like OpenCompass or LM-Eval-Harness. Frontier labs are unlikely to copy the exact math but are actively building more robust persona-preservation benchmarks, which poses a medium risk of making this specific theoretical framework redundant if their internal benchmarks prove more practical.