Papers by Aditya Agrawal

2 papers
Multimodal Persona Based Generation of Comic Dialogs (2023.acl-long)

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Challenge: Existing models for persona based dialogue generation for comic strips encode two-party dialogues and do not account for visual information.
Approach: They propose a multimodal persona-based architecture to generate dialogues for the next panel in comic strips.
Outcome: The proposed paradigm reduces the perplexity score by 10 points over existing models . the novel dataset, ComSet, contains 54K comic strips .
COVID-19 Vaccine Misinformation in Middle Income Countries (2023.emnlp-main)

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Challenge: a multilingual dataset of COVID-19 vaccine misinformation is available from Brazil, Indonesia, and Nigeria.
Approach: They propose to use a multilingual dataset of COVID-19 vaccine misinformation from Brazil, Indonesia, and Nigeria to assess their relevance to vaccines and the presence of misinformation.
Outcome: The proposed models improve from 2.7 to 15.9 percentage points in macro F1-score compared to baseline models.

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