Papers by Ruozhen He

1 papers
Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning (2026.findings-acl)

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Challenge: Existing MLLMs are strong at understanding single plots, but struggle with multi-step reasoning . Existing approaches to manage context in chart reasoning include text-based chain-of-thought prompting .
Approach: They propose a hierarchical visual agent framework that iteratively constructs a working context in an image–text space.
Outcome: The proposed framework improves on strong multimodal baselines.

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