Paper Card 论文标题：Self-Instruct: Aligning Language Models with Self-Generated Instructions 论文作者：Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishi

本文是LLM系列文章，针对《SELF-INSTRUCT: Aligning Language Models with Self-Generated Instructions》的翻译。 自我指导：将语言模型与自生成的指令相结合 摘要1 引言2 方法3 来自GPT3的自学数据4 实验结果5 相关工作6 结论 摘要 大型“指令调整”语言模型（即，微调以响应指令）已经证明了将零样本推广到

论文笔记：Self-Instruct: Aligning Language Model with Self Generated Instructions Q同学 2023-04-22 08:411630 导语 本文介绍了如何使用LLM来大规模自动生成instruction。实验结果表明，这种数据增强方式非常有效，接下来就让我们看看具体是怎么做的吧。 会议：Arxiv链接：arxiv.or

SWEETDREAMER: ALIGNING GEOMETRIC PRIORS IN 2D DIFFUSION FOR CONSISTENT TEXT-TO-3D pdf | project 目录 Method Alignning Geometric Priors in 2D Diffusion Integration into Text-to-3D Text-to-3D Ge

论文泛读：Distribution aligning refinery of pseudo-label for imbalanced semi-supervised learning