Papers by Tiankai Yan

1 papers
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent (2024.findings-emnlp)

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Challenge: Multi-modal Large Language Models (MLLMs) exhibit limited generality and often fall short when compared to specialized models.
Approach: They propose a multi-modal medical agent that picks the most suitable medical tools based on user inputs.
Outcome: The proposed agent performs better than open-source models and the closed-source model, GPT-4o.

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