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Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li, Percy Liang
Stanford University
内容与影响
摘要 · 完整
Xiang Lisa Li, Percy Liang. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
逐年被引趋势
6553280
20
21
22
65523
24
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26
关键指标
2,262
被引次数 · OpenAlex
219.83
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
60
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
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学术脉络
学科主题
计算机 / AINatural Language Processing Techniques
Topic Modeling · Speech Recognition and Synthesis
参考文献 60
Comparing automatic and human evaluation of NLG systems
被引 180Anja Belz, Ehud Reiter · University of Brighton Repository (University of Brighton) · 2006
CIDEr: Consensus-based image description evaluation
被引 4,777Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh · 2015
Privacy-Preserving Deep Learning
被引 2,296Reza Shokri, Vitaly Shmatikov · 2015
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施引文献 2,262
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
被引 3,701Pengfei Liu, Weizhe Yuan, Jinlan Fu · ACM Computing Surveys · 2022
Learning to Prompt for Vision-Language Models
被引 2,845Kaiyang Zhou, Jingkang Yang, Chen Change Loy · International Journal of Computer Vision · 2022
Conditional Prompt Learning for Vision-Language Models
被引 1,566Kaiyang Zhou, Jingkang Yang, Chen Change Loy · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022
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