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arXiv NLP research summaries for April 09, 2024.
Today's Research Themes (AI-Generated):
• Addressing privacy in prompt engineering for large language models with a systematic review of protection methods.
• Introducing FreeEval, an open framework to enable trustworthy and efficient large language model evaluations.
• Enhancing e-commerce experiences by identifying shopping intent in product questions for proactive recommendations.
• Proposing All in One model, streamlining few-shot aspect-based sentiment analysis using GPTs.
• Advancing Kurdish language processing with OCR tailored for historical publications.
arXiv NLP research summaries for April 09, 2024.
Today's Research Themes (AI-Generated):
• Addressing privacy in prompt engineering for large language models with a systematic review of protection methods.
• Introducing FreeEval, an open framework to enable trustworthy and efficient large language model evaluations.
• Enhancing e-commerce experiences by identifying shopping intent in product questions for proactive recommendations.
• Proposing All in One model, streamlining few-shot aspect-based sentiment analysis using GPTs.
• Advancing Kurdish language processing with OCR tailored for historical publications.