DynSess: Dynamic Session-Level Evaluation and Optimization Framework for Role-Playing Agents
Researchers introduce DynSess, a framework that evaluates and optimizes role-playing agents at the session level rather than individual turns, enabling LLMs to maintain character consistency across extended conversations. The framework includes improved evaluation metrics, optimized training methods (DSPO and GSRPO), and demonstrates performance matching larger models with fewer parameters.