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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2409.05257 |
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| _version_ | 1866929653225095168 |
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| author | Chen, Kuiyun Wei, Yanbin |
| author_facet | Chen, Kuiyun Wei, Yanbin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_05257 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | UPCS: Unbiased Persona Construction for Dialogue Generation Chen, Kuiyun Wei, Yanbin Computation and Language 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. |
| title | UPCS: Unbiased Persona Construction for Dialogue Generation |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2409.05257 |