Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916357431361536 |
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| author | Yang, Ivory Guo, Xiaobo Xie, Sean Vosoughi, Soroush |
| author_facet | Yang, Ivory Guo, Xiaobo Xie, Sean Vosoughi, Soroush |
| contents | This study presents a comprehensive, long-term project to explore the effectiveness of various prompting techniques in detecting dialogical mental manipulation. We implement Chain-of-Thought prompting with Zero-Shot and Few-Shot settings on a binary mental manipulation detection task, building upon existing work conducted with Zero-Shot and Few- Shot prompting. Our primary objective is to decipher why certain prompting techniques display superior performance, so as to craft a novel framework tailored for detection of mental manipulation. Preliminary findings suggest that advanced prompting techniques may not be suitable for more complex models, if they are not trained through example-based learning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07676 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques Yang, Ivory Guo, Xiaobo Xie, Sean Vosoughi, Soroush Computation and Language This study presents a comprehensive, long-term project to explore the effectiveness of various prompting techniques in detecting dialogical mental manipulation. We implement Chain-of-Thought prompting with Zero-Shot and Few-Shot settings on a binary mental manipulation detection task, building upon existing work conducted with Zero-Shot and Few- Shot prompting. Our primary objective is to decipher why certain prompting techniques display superior performance, so as to craft a novel framework tailored for detection of mental manipulation. Preliminary findings suggest that advanced prompting techniques may not be suitable for more complex models, if they are not trained through example-based learning. |
| title | Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2408.07676 |