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arXiv NLP research summaries for February 15, 2024.
Today's Research Themes (AI-Generated):
• Exploring cost-effective prompt learning under budget constraints for LLMs with TRIPLE framework.
• Enhancing non-autoregressive machine translation through error exposure and consistency regularization.
• ReadAgent, inspired by human reading, extends context length for LLMs up to 20x on comprehension tasks.
• Investigating LLMs' knowledge of and response to hallucination through empirical analysis of hidden states.
• Align before Attend approach improves multimodal hateful content detection in different languages.
arXiv NLP research summaries for February 15, 2024.
Today's Research Themes (AI-Generated):
• Exploring cost-effective prompt learning under budget constraints for LLMs with TRIPLE framework.
• Enhancing non-autoregressive machine translation through error exposure and consistency regularization.
• ReadAgent, inspired by human reading, extends context length for LLMs up to 20x on comprehension tasks.
• Investigating LLMs' knowledge of and response to hallucination through empirical analysis of hidden states.
• Align before Attend approach improves multimodal hateful content detection in different languages.