Papers by Zhihe Chen

2 papers
EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent Communication (2026.findings-acl)

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Challenge: Existing methods for multi-agent collaboration use a fixed communication graph and manage collaboration structure and shared memory in separate modules.
Approach: They propose a framework that uses an evolving hypergraph topology for multi-agent collaboration.
Outcome: The proposed framework achieves 3.2% to 7.8% accuracy gains over state-of-the-art methods and efficient, reducing token consumption by up to 23.5%.
nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow (2025.acl-long)

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Challenge: *Natural Language to Visualization (NL2Vis) seeks to transform natural-language descriptions into visual representations of given tables.
Approach: They propose a collaborative agent workflow for NL2Vis that incorporates three agents . the model is called **nvAgent** and comprises a processor agent for database processing and context filtering, a composer agent for planning visualization generation and a validator agent for code translation and output verification.
Outcome: The proposed workflow surpasses state-of-the-art models on the VisEval benchmark.

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