A collection of papers and libraries for performing multi-agent optimization. All resources are ordered by date in descending order. Please feel free to submit PRs to improve the list!
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[2024-12-22] A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
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[2024-12-04] How to Correctly do Semantic Backpropagation on Language-based Agentic Systems
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[2024-11-07] Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
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[2024-11-04] DynaSaur: Large Language Agents Beyond Predefined Actions
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[2024-11-02] Interacting Large Language Model Agents. Interpretable Models and Social Learning
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[2024-10-22] SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
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[2024-10-15] G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
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[2024-10-14] AFLow: Automating Agentic Workflow Generation
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[2024-10-14] Agent-as-a-Judge: Evaluate Agents with Agents
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[2024-10-03] Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
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[2024-08-15] Automated Design of Agentic Systems
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[2024-07-10] A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
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[2024-06-26] Symbolic Learning Enables Self-Evolving Agents
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[2024-06-23] Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
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[2024-05-26] Meta-Task Planning for Language Agents
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[2024-04-30] Octopus v4: Graph of language models
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[2024-02-26] Language Agents as Optimizable Graphs
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[2023-07-11] Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
