Papers by Soumi Kundu

1 papers
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments (2024.emnlp-main)

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Challenge: a global shortage of healthcare workers has demanded the development of smart healthcare assistants.
Approach: They analyze the healthcare knowledge of existing Large Vision Language Models (LVLMs) using an annotated open-ended task.
Outcome: The study analyzes the knowledge of large vision language models using open-ended questions . the results highlight the need for specialized, domain-specific solutions .

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