Persona-centric Metamorphic Relation Guided Robustness Evaluation for Multi-turn Dialogue Modeling
This work discovers persona-centric metamorphic relations to infer test samples from annotated data, without additional annotation cost, and evaluates the robustness of personalized dialogue models regarding persona consistency, revealing that prompt learning is more robust than training from scratch and fine-tuning.