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Updated: May 30, 2025

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HiGen:用于层次文字分类的层次意识序列生成

Vidit Jain1, Mukund Rungta1,2, Yuchen Zhuang1

  • 1Georgia Institute of Technology.

Proceedings of the conference. Association for Computational Linguistics. Meeting
|January 31, 2025
PubMed
概括

层次性文本分类 (HTC) 模型与不平衡的数据和静态表示作斗争. 我们的HiGen框架使用动态文本生成来提高性能,特别是对于稀有类,并引入ENZYME数据集.

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An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
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