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How Effective Are Neural Networks for Fixing Security Vulnerabilities.

Y. Wu, N. Jiang, H. Pham, T. Lutellier, J. Davis, L. Tan, P. Babkin, и S. Shah. ISSTA, стр. 1282-1294. ACM, (2023)

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Andreas Petr

Petr Rudenko

Petr Obrdlik

Petr Hyspecký

Petr Danecek

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Sentence Trimming in Service of Verb Phrase Ellipsis Resolution.M. McShane, S. Nirenburg, и P. Babkin. EAPCogSci, том 1419 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)DocLLM: A layout-aware generative language model for multimodal document understanding.D. Wang, N. Raman, M. Sibue, Z. Ma, P. Babkin, S. Kaur, Y. Pei, A. Nourbakhsh, и X. Liu. CoRR, (2024)Actionability and incremental interpretation.P. Babkin. Rensselaer Polytechnic Institute, USA, (2018)Automatic Ellipsis Resolution: Recovering Covert Information from Text.M. McShane, и P. Babkin. AAAI, стр. 572-578. AAAI Press, (2015)How Effective Are Neural Networks for Fixing Security Vulnerabilities.Y. Wu, N. Jiang, H. Pham, T. Lutellier, J. Davis, L. Tan, P. Babkin, и S. Shah. ISSTA, стр. 1282-1294. ACM, (2023)AI for Automated Code Updates.S. Alamir, P. Babkin, N. Navarro, и S. Shah. ICSE (SEIP), стр. 25-26. IEEE, (2022)BuDDIE: A Business Document Dataset for Multi-task Information Extraction.R. Zmigrod, D. Wang, M. Sibue, Y. Pei, P. Babkin, I. Brugere, X. Liu, N. Navarro, A. Papadimitriou, W. Watson и 3 other автор(ы). CoRR, (2024)Neural Transition-based Parsing of Library Deprecations.P. Babkin, N. Navarro, S. Alamir, и S. Shah. CoRR, (2022)Fast Forward Through Opportunistic Incremental Meaning Representation Construction.P. Babkin, и S. Nirenburg. ACL (Student Research Workshop), стр. 114-119. Association for Computational Linguistics, (2017)An Automated Code Update Tool For Python Packages.N. Navarro, S. Alamir, P. Babkin, и S. Shah. ICSME, стр. 536-540. IEEE, (2023)

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