UPCS: Unbiased Persona Construction for Dialogue Generation
This addresses bias risks in narrative systems like dialogue generation, offering a domain-specific solution for more reliable personalized interactions.
The paper tackled the problem of biased persona profiles in dialogue generation by introducing the UPCS framework, which categorizes character descriptions into eight dimensions with bias mitigation strategies, resulting in demonstrated superiority in accuracy, diversity, bias elimination, and user satisfaction.
Narrative systems, such as dialogue and storytelling systems, often utilize persona profiles to enhance personalized interactions. Existing persona profiles frequently exhibit biases, posing risks to system integrity and fairness. To address this, we introduce the UPCS framework, which categorizes character descriptions into eight dimensions, including bias mitigation strategies. Experimental results demonstrate UPCS's superiority in accuracy, diversity, bias elimination, and user satisfaction, marking a significant advancement in persona construction for reliable narrative systems.