arXiv NLP research summaries for March 16, 2024.
Today's Research Themes (AI-Generated):
• Efficient pruning of Large Language Models for deployment on resource-constrained devices with improved accuracy across multiple datasets.
• Examination of Large Language Models' understanding of medical codes reveals a gap in representing healthcare-specific terminologies.
• Introducing an approach for multi-party response generation that automatically infers relations within conversational contexts to enhance clarity.
• A novel multimodal framework, DORA, for detecting hateful memes and their targeted entities in low-resource languages.
• A new two-step approach using AutoEncoders for detecting cybercrime coded words demonstrates high precision, providing deeper insights into drug and sex crimes.
