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arXiv NLP research summaries for January 26, 2024.
Today's Research Themes (AI-Generated):
• Exploring the application of Sentence Transformer Fine-tuning (SetFit) to overcome data limitations in Korean legal judgment prediction.
• A comprehensive survey of recent technical advancements in scientific LLMs, focusing on biological and chemical domains.
• Introduction of MaLLaM, a Malaysian Large Language Model, demonstrating performance on par with notable predecessors despite smaller training datasets.
• Assessing linguistic proficiency and cultural nuances in the development of Taiyi-Diffusion-XL for bilingual text-to-image generation.
• Investigating the artifactuality in LLM-generated content to understand disparities and biases compared to human-generated data.
By Brad EdwardsarXiv NLP research summaries for January 26, 2024.
Today's Research Themes (AI-Generated):
• Exploring the application of Sentence Transformer Fine-tuning (SetFit) to overcome data limitations in Korean legal judgment prediction.
• A comprehensive survey of recent technical advancements in scientific LLMs, focusing on biological and chemical domains.
• Introduction of MaLLaM, a Malaysian Large Language Model, demonstrating performance on par with notable predecessors despite smaller training datasets.
• Assessing linguistic proficiency and cultural nuances in the development of Taiyi-Diffusion-XL for bilingual text-to-image generation.
• Investigating the artifactuality in LLM-generated content to understand disparities and biases compared to human-generated data.