Summary of Persuasion Games Using Large Language Models, by Ganesh Prasath Ramani et al.
Persuasion Games using Large Language Models
by Ganesh Prasath Ramani, Shirish Karande, Santhosh V, Yash Bhatia
First submitted to arxiv on: 28 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates the capacity of Large Language Models (LLMs) to shape user perspectives and influence decision-making on various tasks. Specifically, it examines how LLMs can assist users in domains such as Investment, Credit cards, Insurance, Retail, and Behavioral Change Support Systems (BCSS). The authors propose that LLMs can provide personalized recommendations, enabling users to make informed decisions. This capability has significant implications for industries that rely on user decision-making. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how big language models can change the way people think about things and help them make decisions. It finds that these models can give helpful suggestions in areas like investments, credit cards, insurance, shopping, and helping people make changes in their behavior. This could be important for businesses that need to influence people’s choices. |
