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Leveraging multiple large language models (LLMs) to build collaborative multi-agentic workflows has demonstrated significant potential.
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Improving language model negotiation with self-play and in-context learning from ai feedback
Debating with more persuasive llms leads to more truthful answers
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Ovm,outcome-supervised value models for planning in mathematical reasoning
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Longagent: Scaling language models to 128k context through multi-agent collaboration
Jun Zhao, Can Zu, Hao Xu, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, and Xuanjing Huang. 2024 · 2024
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When one llm drools, multi-llm collaboration rules
Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, and Yulia Tsvetkov. 2025 · 2025
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