Summary of How Well Can Llms Negotiate? Negotiationarena Platform and Analysis, by Federico Bianchi et al.
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
by Federico Bianchi, Patrick John Chia, Mert Yuksekgonul, Jacopo Tagliabue, Dan Jurafsky, James Zou
First submitted to arxiv on: 8 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computer Science and Game Theory (cs.GT)
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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 Medium Difficulty Summary: This paper investigates the negotiation abilities of large language models (LLMs) by developing NegotiationArena, a framework for evaluating and probing LLM agents. The authors implemented three scenarios in NegotiationArena to assess LLM behaviors in allocating shared resources, trading goods, and negotiating prices. Interestingly, LLMs can significantly improve their negotiation outcomes by employing certain behavioral tactics, such as pretending to be desolate and desperate. This can increase payoffs by up to 20% when negotiating against the standard GPT-4. The paper also quantifies irrational negotiation behaviors exhibited by LLM agents, which are similar to those observed in humans. Overall, NegotiationArena offers a new environment for investigating LLM interactions, enabling insights into their theory of mind, irrationality, and reasoning abilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty Summary: This paper is about how well computer programs can negotiate with each other. The researchers created a special space called NegotiationArena where these programs, called large language models (LLMs), can practice negotiating. They tested the LLMs by giving them different tasks to do, like sharing resources or trading goods. What they found was that some of these programs can get better at negotiating if they pretend to be really upset or desperate. This can even help them make more money in certain situations. The researchers also noticed that the computer programs sometimes act irrationally when negotiating, just like humans do. This new space called NegotiationArena helps us understand how these computer programs think and make decisions. |
Keywords
» Artificial intelligence » Gpt
