Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive Debate

Argument Generation with Retrieval, Planning, and Realization

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Out of One, Many: Using Language Models to Simulate Human Samples

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Improving Factuality and Reasoning in Language Models through Multiagent Debate

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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena

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Deepseek llm: Scaling open-source language models with longtermism

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SocraSynth: Multi-LLM Reasoning with Conditional Statistics

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Chang, E. Y. 2024 · 2024

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