Summary of Mindecho: Role-playing Language Agents For Key Opinion Leaders, by Rui Xu et al.
MINDECHO: Role-Playing Language Agents for Key Opinion Leaders
by Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu
First submitted to arxiv on: 7 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Large language models (LLMs) have shown impressive performance in various applications, including role-playing language agents (RPLAs). There is a growing demand for RPLAs that represent Key Opinion Leaders (KOLs), who shape trends and opinions online. However, research in this area remains underexplored. This paper introduces MINDECHO, a comprehensive framework for developing and evaluating KOL RPLAs. MINDECHO collects data from internet video transcripts, synthesizes conversations using GPT-4, and trains individualized models for knowledge and tone retrieval. The framework evaluates KOL RPLAs across general dimensions (knowledge and tones) and fan-centric dimensions. Extensive experiments validate the effectiveness of MINDECHO in developing and evaluating KOL RPLAs. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models have been used to create chatbots that can act like people. Now, there’s a need for these chatbots to be able to represent famous internet celebrities who shape trends and opinions online. This paper introduces a new way to make these chatbots, called MINDECHO, which collects data from videos and uses it to train the chatbot to sound like the celebrity. The paper tests this approach by evaluating how well the chatbot does in representing the celebrity’s personality, tone, and knowledge. The results show that MINDECHO is effective in creating chatbots that can represent internet celebrities. |
Keywords
» Artificial intelligence » Gpt