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.
@article{arxiv.2408.07676,
title = {Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques},
author = {Ivory Yang and Xiaobo Guo and Sean Xie and Soroush Vosoughi},
journal= {arXiv preprint arXiv:2408.07676},
year = {2024}
}