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Tipping the balance : human intervention in large language model multiagent debate

Retrieved on: 2024-11-05 16:52:37

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Summary

The article explores advancements in Natural Language Processing by examining how large language models simulate complex reasoning through multiagent debates, integrating human opinions to refine AI decision-making processes. This relates to tags like prompt engineering and agent-based models.

Article found on: repositories.lib.utexas.edu

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