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arXiv NLP research summaries for May 23, 2024.
Today's Research Themes (AI-Generated):
• Exploring efficient model scaling with Super Tiny Language Models, significantly reducing parameters while maintaining performance.
• Advancing unsupervised adaptation in speech recognition with Self-TAught Recognizer, achieving robustness across diverse domains.
• Introducing Large Language Models-guided adaptation for Temporal Knowledge Graph Reasoning, offering interpretable and dynamically updated reasoning.
• Assessing the impact of inflectional endings in morphological analysis for the Uzbek language, enhancing word-level accuracy.
• Investigating universal goal hijacking in LLMs with Semantic-guided Prompt Organization, confirming model vulnerability to targeted responses.
By Brad EdwardsarXiv NLP research summaries for May 23, 2024.
Today's Research Themes (AI-Generated):
• Exploring efficient model scaling with Super Tiny Language Models, significantly reducing parameters while maintaining performance.
• Advancing unsupervised adaptation in speech recognition with Self-TAught Recognizer, achieving robustness across diverse domains.
• Introducing Large Language Models-guided adaptation for Temporal Knowledge Graph Reasoning, offering interpretable and dynamically updated reasoning.
• Assessing the impact of inflectional endings in morphological analysis for the Uzbek language, enhancing word-level accuracy.
• Investigating universal goal hijacking in LLMs with Semantic-guided Prompt Organization, confirming model vulnerability to targeted responses.