Papers by Sina Pakazad

1 papers
Synthetic Multimodal Question Generation (2024.findings-emnlp)

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Challenge: Multimodal Retrieval Augmented Generation (MMRAG) is a powerful approach to question-answering over multimodal documents.
Approach: They propose a synthetic data generation framework that leverages interplay between a retriever, large language model and large multimodal model to generate question and answer pairs directly from multimodal documents.
Outcome: The proposed framework generates question and answer pairs from 1024 questions over Wikipedia documents and evaluates state-of-the-art models using it.

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