Papers by Sourjyadip Ray

3 papers
EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos (2025.emnlp-main)

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Challenge: This paper explores using Multimodal Large Language Models (MLLMs) to respond to student questions from online lectures . MLLM is a novel question answering task of real world significance .
Approach: They propose to use Multimodal Large Language Models to automatically respond to student questions from online lectures by using a dataset of 5252 question-answer pairs from 296 computer science videos.
Outcome: The proposed model can fine tune and fine tune questions from 296 computer science videos and show that students' preferences are important to the task.
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 .
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages (2023.findings-eacl)

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Challenge: Currently, there is a lack of data and technology for resource-poor languages in developing countries like India.
Approach: They propose to use two different datasets to analyze query intents and entities in healthcare.
Outcome: The proposed model is useful to identify query intents and entities in real-world scenarios.

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