EvoAgentX: An Automated Framework for Evolving Agentic Workflows (2025.emnlp-demos)
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| Challenge: | Existing MAS frameworks often require manual workflow configuration and lack native support for dynamic evolution and performance optimization. |
| Approach: | They propose an open-source platform that automates generation, execution, and evolutionary optimization of multi-agent workflows. |
| Outcome: | The proposed platform automates generation, execution, and evolutionary optimization of multi-agent workflows. |
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| Challenge: | Recent advances in Large Language Models have demonstrated remarkable performance across tasks. |
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| Challenge: | Existing workflow generation methods rely on incremental refinement or tree-based search over a single evolving workflow. |
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Cornelius Emde, Alexander Rubinstein, Anmol Goel, Ahmed Heakl, Sangdoo Yun, Seong Joon Oh, Martin Gubri
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