Papers by Shunfan Zheng

1 papers
ACE-M3: Automatic Capability Evaluator for Multimodal Medical Models (2025.coling-main)

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Challenge: Existing metrics for multimodal large language models only focus on token overlap and may not align with human judgment.
Approach: They propose an open-source model that assesses the question answering abilities of multimodal large language models.
Outcome: Experiments show that the ACE-M3 model performs better than existing models and is more reliable than existing metrics.

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