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Binary analysis plays a pivotal role in security domains such as malware detection and vulnerability discovery, yet it remains labor-intensive and heavily reliant on expert knowledge.
On the resemblance and containment of documents
A.Z. Broder · 1997
Earlier work this paper cites.
Scaling laws for neural language models, 2020
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2001
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Measuring massive multitask language understanding, 2021
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2009
Earlier work this paper cites.
Debin: Predicting debug information in stripped binaries
Jingxuan He, Pesho Ivanov, Petar Tsankov, Veselin Raychev, and Martin Vechev · 2018
Earlier work this paper cites.
Dire: A neural approach to decompiled identifier naming
J. Lacomis, P. Yin, E. Schwartz, M. Allamanis, C. Le Goues, G. Neubig, and B. Vasilescu · 2019
Earlier work this paper cites.
Neural reverse engineering of stripped binaries using augmented control flow graphs
Yaniv David, Uri Alon, and Eran Yahav · 2020
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
Earlier work this paper cites.
Transformers: State-of-the-Art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Perric Cistac, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 2020
Earlier work this paper cites.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Earlier work this paper cites.
A lightweight framework for function name reassignment based on large-scale stripped binaries
Han Gao, Shaoyin Cheng, Yinxing Xue, and Weiming Zhang · 2021
Earlier work this paper cites.
Direct: A transformer-based model for decompiled identifier renaming
Vikram Nitin, Anthony Saieva, Baishakhi Ray, and Gail Kaiser · 2021
Earlier work this paper cites.
Stateformer: Fine-grained type recovery from binaries using generative state modeling
Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, and Suman Jana · 2021
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Program synthesis with large language models, 2021
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, and Charles Sutton · 2021
Earlier work this paper cites.
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
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Symlm: Predicting function names in stripped binaries via context-sensitive execution-aware code embeddings
Xin Jin, Kexin Pei, Jun Yeon Won, and Zhiqiang Lin · 2022
Earlier work this paper cites.
In 31st USENIX Security Symposium (USENIX Security 22)
Augmenting decompiler output with learned variable names and types · 2022
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Training language models to follow instructions with human feedback, 2022
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe · 2022
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On automated assistants for software development: The role of llms
Mira Leung and Gail Murphy · 2023
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Impact of code language models on automated program repair
Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan · 2023
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How far have we gone in vulnerability detection using large language models
Zeyu Gao, Hao Wang, Yuchen Zhou, Wenyu Zhu, and Chao Zhang · 2023
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Large language models are few-shot testers: Exploring llm-based general bug reproduction
Sungmin Kang, Juyeon Yoon, and Shin Yoo · 2023
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Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang · 2023
Earlier work this paper cites.
Binary code summarization: Benchmarking chatgpt/gpt-4 and other large language models
Xin Jin, Jonathan Larson, Weiwei Yang, and Zhiqiang Lin · 2023
Earlier work this paper cites.
Investigating neural-based function name reassignment from the perspective of binary code representation
Guoqiang Chen, Han Gao, Jie Zhang, Yanru He, Shaoyin Cheng, and Weiming Zhang · 2023
Earlier work this paper cites.
Xfl: Naming functions in binaries with extreme multi-label learning
James Patrick-Evans, Moritz Dannehl, and Johannes Kinder · 2023
Earlier work this paper cites.
Hext5: Unified pre-training for stripped binary code information inference
Jiaqi Xiong, Guoqiang Chen, Kejiang Chen, Han Gao, Shaoyin Cheng, and Weiming Zhang · 2023
Earlier work this paper cites.
Typesqueezer: When static recovery of function signatures for binary executables meets dynamic analysis
Ziyi Lin, Jinku Li, Bowen Li, Haoyu Ma, Debin Gao, and Jianfeng Ma · 2023
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Extending source code pre-trained language models to summarise decompiled binarie
Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar Devanbu, and Arie van Deursen · 2023
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Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023
Teknium · 2023
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Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
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Opencompass: A universal evaluation platform for foundation models
OpenCompass Contributors · 2023
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Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe · 2023
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Gpqa: A graduate-level google-proof q&a benchmark, 2023
David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R. Bowman · 2023
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Joern: The Bug Hunter’s Workbench, January 2024
joern.io · 2024
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LlamaFactory: Unified efficient fine-tuning of 100+ language models
Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, and Zheyan Luo · 2024
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https://mlm01.com , 2024
Mlm · 2024
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reverser_ai
mrphrazer · 2024
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URL: https://evalplus.github.io/leaderboard.html
EvalPlus, 2024 · 2024
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Instruction-following evaluation for large language models, 2023
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Wpechatgpt
WPeace-HcH · 2023
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DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, Dejian Yang, Peiyi Wang, Runxin Xu, Y. Wu, Yukun Li, Huazuo Gao, Shirong Ma, Wangding Zeng, Xiao Bi, Zihui Gu, Hanwei Xu, Damai Dai, Kai Dong, Liyue Zhang, Yishi Piao, Zhibin Gou, Zhenda Xie, Zhewen Hao, Bingxuan Wang, Junxiao Song, Deli Chen, Xin Xie, Kang Guan, Yuxiang You, Aixin Liu, Qiushi Du, Wenjun Gao, Xuan Lu, Qinyu Chen, Yaohui Wang, Chengqi Deng, Jiashi Li, Chenggang Zhao, Chong Ruan, Fuli Luo, and Wenfeng Liang · 2024
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LLM4Decompile: Decompiling binary code with large language models
Hanzhuo Tan, Qi Luo, Jing Li, and Yuqun Zhang · 2024
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Resym: Harnessing llms to recover variable and data structure symbols from stripped binaries
Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, and Xiangyu Zhang · 2024
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"len or index or count, anything but v1": Predicting variable names in decompilation output with transfer learning
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Evaluating language models for efficient code generation
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