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With the recent advancement of Large Language Models (LLMs), generating functionally correct code has become less complicated for a wide array of developers.
Bertscore: Evaluating text generation with bert
Zhang, T.; Kishore, V.; Wu, F.; Weinberger, K. Q.; and Artzi, Y. 2019 · 1904
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Bleu: a method for automatic evaluation of machine translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
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Rouge: A package for automatic evaluation of summaries
Lin, C.-Y. 2004 · 2004
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The art of software security assessment: Identifying and preventing software vulnerabilities
Dowd, M.; McDonald, J.; and Schuh, J. 2006 · 2006
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Codebleu: a method for automatic evaluation of code synthesis
Ren, S.; Guo, D.; Lu, S.; Zhou, L.; Liu, S.; Tang, D.; Sundaresan, N.; Zhou, M.; Blanco, A.; and Ma, S. 2020 · 2009
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Contextual markov decision processes
Hallak, A.; Di Castro, D.; and Mannor, S. 2015 · 2015
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Proximal policy optimization algorithms
Schulman, J.; Wolski, F.; Dhariwal, P.; Radford, A.; and Klimov, O. 2017 · 2017
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Using safety properties to generate vulnerability patches
Huang, Z.; Lie, D.; Tan, G.; and Jaeger, T. 2019 · 2019
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Optimizing BLEU Scores for Improving Text Generation
Liu, T. 2019 · 2019
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Zero: Memory optimizations toward training trillion parameter models
Rajbhandari, S.; Rasley, J.; Ruwase, O.; and He, Y. 2020 · 2020
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Evaluating large language models trained on code
Chen, M.; Tworek, J.; Jun, H.; Yuan, Q.; Pinto, H. P. d. O.; Kaplan, J.; Edwards, H.; Burda, Y.; Joseph, N.; Brockman, G.; et al. 2021 · 2021
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Vuldeelocator: a deep learning-based fine-grained vulnerability detector
Li, Z.; Zou, D.; Xu, S.; Chen, Z.; Zhu, Y.; and Jin, H. 2021 · 2021
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Automatic Program Repair with OpenAI’s Codex: Evaluating QuixBugs
Prenner, J. A.; and Robbes, R. 2021 · 2021
Cited alongside, same era.
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Wang, Y.; Wang, W.; Joty, S.; and Hoi, S. C. 2021 · 2021
Cited alongside, same era.
Intermediate Help with Using Digital Devices and Online Accounts: Understanding the Needs, Expectations, and Vulnerabilities of Young Adults
Atashpanjeh, H.; Behfar, A.; Haverkamp, C.; Verdoes, M. M.; and Al-Ameen, M. N. 2022 · 2022
Cited alongside, same era.
Neural transfer learning for repairing security vulnerabilities in c code
Chen, Z.; Kommrusch, S.; and Monperrus, M. 2022 · 2022
Cited alongside, same era.
Incoder: A generative model for code infilling and synthesis
Fried, D.; Aghajanyan, A.; Lin, J.; Wang, S.; Wallace, E.; Shi, F.; Zhong, R.; Yih, W.-t.; Zettlemoyer, L.; and Lewis, M. 2022 · 2022
Program vulnerability repair via inductive inference
Zhang, Y.; Gao, X.; Duck, G. J.; and Roychoudhury, A. 2022 · 2022
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Controlling large language models to generate secure and vulnerable code
He, J.; and Vechev, M. 2023 · 2023
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An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
Islam, N.; Parra, G.; Manuel, D.; Bou-Harb, E.; and Najafirad, P. 2023 · 2023
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Large Language Models and Simple, Stupid Bugs
Jesse, K.; Ahmed, T.; Devanbu, P. T.; and Morgan, E. 2023 · 2023
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How Secure is Code Generated by ChatGPT?
Khoury, R.; Avila, A. R.; Brunelle, J.; and Camara, B. M. 2023 · 2023
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Cited alongside, same era.
VulRepair: a T5-based automated software vulnerability repair
Fu, M.; Tantithamthavorn, C.; Le, T.; Nguyen, V.; and Phung, D. 2022 · 2022
Cited alongside, same era.
Security Analysis of Docker Containers for ARM Architecture
Haq, M. S.; Tosun, A. Ş.; and Korkmaz, T. 2022 · 2022
Cited alongside, same era.
Coderl: Mastering code generation through pretrained models and deep reinforcement learning
Le, H.; Wang, Y.; Gotmare, A. D.; Savarese, S.; and Hoi, S. C. H. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Ouyang, L.; Wu, J.; Jiang, X.; Almeida, D.; Wainwright, C. L.; Mishkin, P.; Zhang, C.; Agarwal, S.; Slama, K.; Ray, A.; Schulman, J.; Hilton, J.; Kelton, F.; Miller, L.; Simens, M.; Askell, A.; Welinder, P.; Christiano, P.; Leike, J.; and Lowe, R. 2022 · 2022
Cited alongside, same era.
Asleep at the keyboard? assessing the security of github copilot’s code contributions
Pearce, H.; Ahmad, B.; Tan, B.; Dolan-Gavitt, B.; and Karri, R. 2022a · 2022
Cited alongside, same era.
Security Implications of Large Language Model Code Assistants: A User Study
Sandoval, G.; Pearce, H.; Nys, T.; Karri, R.; Dolan-Gavitt, B.; and Garg, S. 2022 · 2022
Cited alongside, same era.
What language model architecture and pretraining objective works best for zero-shot generalization?
Wang, T.; Roberts, A.; Hesslow, D.; Le Scao, T.; Chung, H. W.; Beltagy, I.; Launay, J.; and Raffel, C. 2022 · 2022
Cited alongside, same era.
StarCoder: may the source be with you!
Li, R.; Allal, L. B.; Zi, Y.; Muennighoff, N.; Kocetkov, D.; Mou, C.; Marone, M.; Akiki, C.; Li, J.; Chim, J.; et al. 2023 · 2023
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Lin, Y.; Tan, L.; Lin, H.; Zheng, Z.; Pi, R.; Zhang, J.; Diao, S.; Wang, H.; Zhao, H.; Yao, Y.; and Zhang, T. 2023 · 2023
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Examining Zero-Shot Vulnerability Repair with Large Language Models
Pearce, H.; Tan, B.; Ahmad, B.; Karri, R.; and Dolan-Gavitt, B. 2022b · 2023
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Lost at c: A user study on the security implications of large language model code assistants
Sandoval, G.; Pearce, H.; Nys, T.; Karri, R.; Garg, S.; and Dolan-Gavitt, B. 2023 · 2023
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OPEN SOURCE SECURITY AND RISK ANALYSIS REPORT
Synopsys. 2023 · 2023
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Llama 2: Open Foundation and Fine-Tuned Chat Models
Touvron, H.; Martin, L.; Stone, K.; Albert, P.; Almahairi, A.; Babaei, Y.; Bashlykov, N.; Batra, S.; Bhargava, P.; Bhosale, S.; Bikel, D.; Blecher, L.; Ferrer, C. C.; Chen, M.; Cucurull, G.; Esiobu, D.; Fernandes, J.; Fu, J.; Fu, W.; Fuller, B.; Gao, C.; Goswami, V.; Goyal, N.; Hartshorn, A.; Hosseini, S.; Hou, R.; Inan, H.; Kardas, M.; Kerkez, V.; Khabsa, M.; Kloumann, I.; Korenev, A.; Koura, P. S.; Lachaux, M.-A.; Lavril, T.; Lee, J.; Liskovich, D.; Lu, Y.; Mao, Y.; Martinet, X.; Mihaylov, T.; Mishra, P.; Molybog, I.; Nie, Y.; Poulton, A.; Reizenstein, J.; Rungta, R.; Saladi, K.; Schelten, A.; Silva, R.; Smith, E. M.; Subramanian, R.; Tan, X. E.; Tang, B.; Taylor, R.; Williams, A.; Kuan, J. X.; Xu, P.; Yan, Z.; Zarov, I.; Zhang, Y.; Fan, A.; Kambadur, M.; Narang, S.; Rodriguez, A.; Stojnic, R.; Edunov, S.; and Scialom, T. 2023 · 2023
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