From Pareto to Preference: Personalized Test-Time Scaling via Amortized Agentic Policy Discovery

PersonTTS enables test-time scaling by optimizing for joint user requirements across accuracy, latency, and inference cost. The framework uses amortized agentic policy discovery to generate executable controllers for specific multi-dimensional profiles, moving beyond single-dimension Pareto frontier optimizations.