Papers by Tereshchenko Artemiy Vladimirovich

1 papers
3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark (2025.emnlp-main)

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Challenge: Large Vision-Language Models (LVLMs) are being explored in medicine but their ability to conduct complex real-world telemedicine consultations remains underexplored.
Approach: They propose to use large vision-language models to conduct telemedicine consultations using a framework that simulates patient variability and evaluates diagnostic accuracy and dialogue quality via Assessor Agent.
Outcome: The proposed framework compares diagnostic strategies for open and closed-source LVLMs and shows that multimodal dialogue improves F1 score by 6.5% over non-dialogue settings.

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