Papers by Jinyuan Liu

2 papers
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.
Task-Specific Information Decomposition for End-to-End Dense Video Captioning (2025.acl-long)

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Challenge: Existing methods for label assignment fail to ensure relevance of localization information to descriptions.
Approach: They propose a decomposed dense video captioning framework that derives localization and captioning queries from event queries, enabling task-specific representations while maintaining inter-task collaboration.
Outcome: Experiments on YouCook2 and ActivityNet Captions show that the proposed framework achieves state-of-the-art performance.

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