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arXiv NLP research summaries for March 8, 2024.
Today's Research Themes (AI-Generated):
• Investigating the use of large decoder-only language models for RST discourse parsing reveals state-of-the-art results.
• A rule-driven news captioning method is proposed to ensure image descriptions comply with fundamental news reporting rules.
• Chat-based unified information extraction framework ChatUIE demonstrates improved performance in domain-specific tasks using large language models.
• Large language models show potential to predict human memory performance, offering insights into underlying cognitive mechanisms.
• ROUGE-K, a new keyword-oriented evaluation metric for summarization, addresses inclusion of informative words in summaries.
arXiv NLP research summaries for March 8, 2024.
Today's Research Themes (AI-Generated):
• Investigating the use of large decoder-only language models for RST discourse parsing reveals state-of-the-art results.
• A rule-driven news captioning method is proposed to ensure image descriptions comply with fundamental news reporting rules.
• Chat-based unified information extraction framework ChatUIE demonstrates improved performance in domain-specific tasks using large language models.
• Large language models show potential to predict human memory performance, offering insights into underlying cognitive mechanisms.
• ROUGE-K, a new keyword-oriented evaluation metric for summarization, addresses inclusion of informative words in summaries.