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Deduplicating Training Data Makes Language Models Better
Katherine Lee, Daphne Ippolito, A. Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini
Google (United States) Brain (Germany) California University of Pennsylvania
来源Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
年份2022
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摘要与影响
摘要 · 完整
Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
逐年被引趋势
75380
21
22
23
24
7525
26
关键指标
288
被引次数 · OpenAlex
36.56
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
58
参考文献
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学术脉络
学科主题
计算机 / AITopic Modeling
Natural Language Processing Techniques · Data Quality and Management
参考文献 58
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被引 225Pang Ko, Srinivas Aluru · Lecture notes in computer science · 2003
One billion word benchmark for measuring progress in statistical language modeling
被引 637Ciprian Chelba, Tomáš Mikolov, Mike Schuster · 2014
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
被引 2,083Yukun Zhu, Ryan Kiros, Rich Zemel · 2015
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引用本文 288
Survey of Hallucination in Natural Language Generation
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On the Opportunities and Risks of Foundation Models
被引 2,296Rishi Bommasani, Drew A. Hudson, Ehsan Adeli · arXiv (Cornell University) · 2021
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
被引 2,103Lei Huang, Weijiang Yu, Weitao Ma · ACM Transactions on Information Systems · 2024
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