Shypd.aiThe largest open index of AI toolsMulti-Agents-Debate (MAD) is an AI Agents & Automation tool that explores the debating capabilities of large language models. It proposes a framework for multi-agent debate to address issues like bias and distorted perception in LLMs.
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Multi-Agents-Debate (MAD) is a pioneering framework designed to explore and enhance the debating capabilities of Large Language Models (LLMs). It addresses the limitations of self-reflection in LLMs, such as bias, rigidity, and lack of external feedback, by introducing a multi-agent debate interaction. The framework posits that 'truth emerges from the clash of adverse ideas,' allowing agents to correct each other's distorted thinking, complement resistance to change, and provide mutual external feedback. Experiments demonstrate that MAD brings significant and consistent improvements in challenging tasks like Counterintuitive QA and Commonsense Machine Translation, showcasing its potential to exploit more of LLMs' capabilities and mitigate issues like degeneration of thoughts.
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