Papers by Henry Hengyuan Zhao

2 papers
From Charts to Code: A Hierarchical Benchmark for Multimodal Models (2026.acl-long)

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Challenge: Chart2Code is a new benchmark for evaluating the natural language to chart code generation capabilities of large multimodal models.
Approach: They introduce Chart2Code, a new benchmark for evaluating the natural language to chart code generation capabilities of large multimodal models.
Outcome: The proposed benchmark is the first to scale task complexity while capturing diverse scenarios.
InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models with Human Feedback (2025.findings-emnlp)

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Challenge: Existing benchmarks do not test Large Multimodal Models (LMMs) on their interactive intelligence with human users.
Approach: They propose an interactive framework that can be applied to any LMM and assess their interactive intelligence with human users.
Outcome: The proposed framework can be applied to any LMM and dataset to assess interactive intelligence with human users.

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