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The rapid advancement of large language models (LLMs) has enabled the development of multi-agent systems where multiple LLM-based agents collaborate on complex tasks.
Topological sorting of large networks
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Network flows: theory, algorithms, and applications , volume 1
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Llama 2: Open foundation and fine-tuned chat models, 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023
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Dspy: Compiling declarative language model calls into self-improving pipelines
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Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2023
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Api-bank: A comprehensive benchmark for tool-augmented llms, 2023
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Chain-of-thought prompting elicits reasoning in large language models, 2023
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Self-refine: Iterative refinement with self-feedback, 2023
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Gptswarm: Language agents as optimizable graphs
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Agentsquare: Automatic llm agent search in modular design space
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Autoagents: The automatic agents generation framework
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Longtao Zheng, Rundong Wang, Xinrun Wang, and Bo An · 2024
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