Backdoor Learning of Language Models in Natural Language Processing

被引：0
|
作者：
University of Michigan [1 ]
机构：
来源：
| 1600年
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Correlation theory - Cost effectiveness - Economic analysis - Object oriented programming - Speech recognition
引用
收藏
相关论文
共 50 条
  • [31] Deep Learning Methods in Natural Language Processing
    Flores, Alexis Stalin Alulema
    APPLIED TECHNOLOGIES (ICAT 2019), PT II, 2020, 1194 : 92 - 107
  • [32] Natural Language Processing for Learning Assessment in STEM
    Caratozzolo, Patricia
    Rodriguez-Ruiz, Jorge
    Alvarez-Delgado, Alvaro
    PROCEEDINGS OF THE 2022 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON 2022), 2022, : 1549 - 1554
  • [33] Empirical learning of natural language processing tasks
    Daelemans, W
    van den Bosch, A
    Weijters, T
    MACHINE LEARNING : ECML-97, 1997, 1224 : 337 - 344
  • [34] Natural Language Processing for Enhancing Teaching and Learning
    Litman, Diane
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 4170 - 4176
  • [35] Deep Learning on Graphs for Natural Language Processing
    Wu, Lingfei
    Chen, Yu
    Ji, Heng
    Liu, Bang
    KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 4084 - 4085
  • [36] Deep Learning for Natural Language Processing: A Survey
    Arkhangelskaya E.O.
    Nikolenko S.I.
    Journal of Mathematical Sciences, 2023, 273 (4) : 533 - 582
  • [37] Deep Learning Techniques for Natural Language Processing
    Rodzin, Sergey
    Bova, Victoria
    Kravchenko, Yury
    Rodzina, Lada
    ARTIFICIAL INTELLIGENCE TRENDS IN SYSTEMS, VOL 2, 2022, 502 : 121 - 130
  • [38] Knowledgeable Machine Learning for Natural Language Processing
    Han, Xu
    Zhang, Zhengyan
    Liu, Zhiyuan
    COMMUNICATIONS OF THE ACM, 2021, 64 (11) : 50 - 51
  • [39] Meta Learning for Natural Language Processing: A Survey
    Lee, Hung-yi
    Li, Shang-Wen
    Vu, Ngoc Thang
    NAACL 2022: THE 2022 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES, 2022, : 666 - 684
  • [40] Deep Structured Learning for Natural Language Processing
    Li, Yong
    Yang, Xiaojun
    Zuo, Min
    Jin, Qingyu
    Li, Haisheng
    Cao, Qian
    ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2021, 20 (03)
12345