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arXiv NLP research summaries for April 26, 2024.
Today's Research Themes (AI-Generated):
• Evaluating memorization versus abstraction in pre-trained language models using Japanese newspapers.
• Introducing a framework for improving few-shot named entity recognition with contrastive learning.
• Leveraging zero-shot classification to analyze social anxiety symptoms from Reddit data.
• Addressing data scarcity in under-resourced languages through GPT-based code-switched sentence generation.
• Investigating the reduction of social bias in large language models through cognitive processing techniques.
arXiv NLP research summaries for April 26, 2024.
Today's Research Themes (AI-Generated):
• Evaluating memorization versus abstraction in pre-trained language models using Japanese newspapers.
• Introducing a framework for improving few-shot named entity recognition with contrastive learning.
• Leveraging zero-shot classification to analyze social anxiety symptoms from Reddit data.
• Addressing data scarcity in under-resourced languages through GPT-based code-switched sentence generation.
• Investigating the reduction of social bias in large language models through cognitive processing techniques.