Pranab Sahoo — accepted AI-conference papers

2024

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Pranab Sahoo, Prabhash Meharia, Akash Ghosh, Sriparna Saha, Vinija Jain, Aman Chadha

EMNLP 2024finding

The rapid advancement of foundation models (FMs) across language, image, audio, and video domains has shown remarkable capabilities in diverse tasks. However, the proliferation of FMs brings forth a critical challenge: the potential to generate hallucinated outputs, particularly in high-stakes appli…

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2024

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development

Pranab Sahoo, Ayush Singh, Sriparna Saha, Aman Chadha, Samrat Mondal

ACL 2024findings

The mining of adverse drug events (ADEs) is pivotal in pharmacovigilance, enhancing patient safety by identifying potential risks associated with medications, facilitating early detection of adverse events, and guiding regulatory decision-making. Traditional ADE detection methods are reliable but sl…

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