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An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models.

, , , , и . EMNLP, стр. 1816-1826. Association for Computational Linguistics, (2022)

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Improved Estimation of Concentration Under ℓp-Norm Distance Metrics Using Half Spaces., , и . ICLR, OpenReview.net, (2021)DSML 2018 Introduction., , и . DSN Workshops, стр. 187. IEEE Computer Society, (2018)LCLint: A Tool for Using Specifications to Check Code., , , и . SIGSOFT FSE, стр. 87-96. ACM, (1994)Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models., , и . EMNLP, стр. 632-647. Association for Computational Linguistics, (2022)Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory., , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 4741-4751. Association for Computational Linguistics, (2020)Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021., , , , , , , , и . DSN Workshops, стр. xvi. IEEE, (2021)Static Detection of Dynamic Memory Errors.. PLDI, стр. 44-53. ACM, (1996)An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models., , , , и . EMNLP, стр. 1816-1826. Association for Computational Linguistics, (2022)Policy-directed code safety.. Massachusetts Institute of Technology, Cambridge, MA, USA, (2000)ndltd.org (oai:dspace.mit.edu:1721.1/86424).Third International Workshop on Dependable and Secure Machine Learning - DSML 2020., , , , , , и . DSN Workshops, стр. x. IEEE, (2020)