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LLM-based code assistants are becoming increasingly popular among developers.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Automatic reassembly of document fragments via data compression
Kulesh Shanmugasundaram and Nasir Memon · 2002
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A memetic algorithm for reconstructing cross-cut shredded text documents
Christian Schauer, Matthias Prandtstetter, and Günther R Raidl · 2010
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Codesearchnet challenge: Evaluating the state of semantic code search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt · 2019
Earlier work this paper cites.
Codebleu: a method for automatic evaluation of code synthesis
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, and Shuai Ma · 2020
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Extracting training data from large language models
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al · 2021
Earlier work this paper cites.
Training data leakage analysis in language models
Huseyin A Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, and Robert Sim · 2021
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Automation testing of software security based on burpsuite
Wang Junmei and Yan Chengkang · 2021
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Stable-baselines3: Reliable reinforcement learning implementations
Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, and Noah Dormann · 2021
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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Unlearnable examples: Protecting open-source software from unauthorized neural code learning
Zhenlan Ji, Pingchuan Ma, and Shuai Wang · 2022
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Automatic code documentation generation using gpt-3
Junaed Younus Khan and Gias Uddin · 2022
Cited alongside, same era.
Asleep at the keyboard? assessing the security of github copilot’s code contributions
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri · 2022
Cited alongside, same era.
Do users write more insecure code with ai assistants?
Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh · 2022
Cited alongside, same era.
Coprotector: Protect open-source code against unauthorized training usage with data poisoning
Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, and Li Li · 2022
Cited alongside, same era.
Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models
Priyan Vaithilingam, Tianyi Zhang, and Elena L Glassman · 2022
Cited alongside, same era.
Can sensitive information be deleted from llms? objectives for defending against extraction attacks
Vaidehi Patil, Peter Hase, and Mohit Bansal · 2023
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Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al · 2023
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Analysis of chatgpt on source code
Ahmed Sadik, Antonello Ceravola, Frank Joublin, and Jibesh Patra · 2023
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Lost at c: A user study on the security implications of large language model code assistants
Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, and Brendan Dolan-Gavitt · 2023
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Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, and Joseph E Gonzalez · 2022
Cited alongside, same era.
Using chatgpt as a static application security testing tool
Atieh Bakhshandeh, Abdalsamad Keramatfar, Amir Norouzi, and Mohammad Mahdi Chekidehkhoun · 2023
Cited alongside, same era.
A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al · 2023
Cited alongside, same era.
How secure is code generated by chatgpt?
Raphaël Khoury, Anderson R Avila, Jacob Brunelle, and Baba Mamadou Camara · 2023
Cited alongside, same era.
Starcoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al · 2023
Cited alongside, same era.
Analyzing leakage of personally identifiable information in language models
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, and Santiago Zanella-Béguelin · 2023
Cited alongside, same era.
Codexleaks: Privacy leaks from code generation language models in github copilot
Liang Niu, Shujaat Mirza, Zayd Maradni, and Christina Pöpper · 2023
Cited alongside, same era.
Weisong Sun, Chunrong Fang, Yudu You, Yun Miao, Yi Liu, Yuekang Li, Gelei Deng, Shenghan Huang, Yuchen Chen, Quanjun Zhang, et al · 2023
Later among the works it cites.
Reprompt: Automatic prompt editing to refine ai-generative art towards precise expressions
Yunlong Wang, Shuyuan Shen, and Brian Y Lim · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Later among the works it cites.
Exploring the potential of chatgpt in automated code refinement: An empirical study
Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, and Xin Peng · 2024
Closest in time.
Prewrite: Prompt rewriting with reinforcement learning
Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, and Michael Bendersky · 2024
Closest in time.
Promptcrypt: Prompt encryption for secure communication with large language models
Guo Lin, Wenyue Hua, and Yongfeng Zhang · 2024
Closest in time.
Prompt obfuscation for large language models
David Pape, Thorsten Eisenhofer, and Lea Schönherr · 2024
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