RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents 事件

RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents arXiv:2606.01552v1 Announce Type: new Abstract: Role-playing agents(RPAs) are widely used to steer large language models(LLMs) toward role-consistent behavior, yet existing benchmarks mainly evaluate surface-level fidelity and offer limited insight into decision making under role-alignment value conflicts. To address this gap, we introduce RoleCDE, the first benchmark designed to evaluate RPAs under structured