Summary of Are Llms Effective Negotiators? Systematic Evaluation Of the Multifaceted Capabilities Of Llms in Negotiation Dialogues, by Deuksin Kwon et al.
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
by Deuksin Kwon, Emily Weiss, Tara Kulshrestha, Kushal Chawla, Gale M. Lucas, Jonathan Gratch
First submitted to arxiv on: 21 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 research paper investigates the capabilities of Large Language Models (LLMs) in negotiation settings, which require a range of skills including comprehension of conversation context, Theory-of-Mind abilities, strategic reasoning, and effective communication. Despite LLMs’ impressive performance in various natural language processing tasks, there is no systematic evaluation of their negotiation capabilities. This study aims to fill this gap by analyzing the multifaceted capabilities of LLMs across diverse dialogue scenarios throughout a typical negotiation interaction. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Negotiation is like having a conversation with someone you want to make a deal with. Computers are getting really good at understanding and talking, but they’re not very good at negotiating. This paper looks at how well big computer programs called Large Language Models can negotiate. It’s important because we need these computers to be able to have good conversations with people in many areas, like education and business. |
Keywords
» Artificial intelligence » Natural language processing
