通过高级提示技术增强对话式精神操控检测
Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques
AI总结：
本研究探索不同提示技术在对话式精神操控检测中的效果，在二元检测任务上实现零样本、少样本设置的思维链提示，旨在探明技术性能差异原因以构建专用检测框架，初步发现未经过示例学习的复杂模型可能不适用高级提示技术。
摘要：
本研究开展了一项全面的长期项目，旨在探究各类提示技术在对话式精神操控检测中的有效性。我们在现有零样本（Zero-Shot）和少样本（Few-Shot）提示研究的基础上，针对二元精神操控检测任务，实现了零样本和少样本设置下的思维链（Chain-of-Thought）提示。我们的核心目标是探明为何部分提示技术表现更优，从而构建专为精神操控检测定制的新型框架。初步结果表明，若未通过基于示例的学习进行训练，高级提示技术可能不适用于更复杂的模型。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
