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Fuzz4All: Universal Fuzzing with Large Language Models

9 August 2023

Papers citing "Fuzz4All: Universal Fuzzing with Large Language Models"

20 / 20 papers shown

Title
Demystifying OS Kernel Fuzzing with a Novel Taxonomy Jiacheng Xu He Sun Shihao Jiang Qinying Wang Mingming Zhang ... Kaiwen Shen Peng Cheng Jiming Chen Charles Zhang S. Ji 428 0 0 28 Jan 2025
Treefix: Enabling Execution with a Tree of Prefixes Beatriz Souza Michael Pradel 97 1 0 21 Jan 2025
Can LLMs Replace Manual Annotation of Software Engineering Artifacts? Toufique Ahmed Premkumar Devanbu Christoph Treude Michael Pradel 125 19 0 10 Aug 2024
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future Haolin Jin Linghan Huang Haipeng Cai Jun Yan Bo Li Huaming Chen 135 37 0 05 Aug 2024
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner Xunguang Wang Daoyuan Wu Zhenlan Ji Zongjie Li Pingchuan Ma Shuai Wang Yingjiu Li Yang Liu Ning Liu Juergen Rahmel AAML 150 14 0 08 Jun 2024
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Ziyang Li Saikat Dutta Mayur Naik 96 55 0 27 May 2024
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers Jiawei Liu Jinkun Lin Fabian Ruffy Cheng Tan Jinyang Li Aurojit Panda Lingming Zhang 136 66 0 26 Jul 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence Chaozheng Wang Yuanhang Yang Cuiyun Gao Yun Peng Hongyu Zhang Michael R. Lyu AAML 100 137 0 24 Jul 2022
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 74 652 0 12 Apr 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 515 6,293 0 05 Apr 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 292 1,560 0 02 Sep 2021
A Survey on Automated Fact-Checking Zhijiang Guo Michael Schlichtkrull Andreas Vlachos 92 495 0 26 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 218 3,987 0 28 Jul 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 63 547 0 14 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 250 4,298 0 01 Jan 2021
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 165 2,667 0 19 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,617 0 21 Jan 2020
Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer Suyoung Lee HyungSeok Han S. Cha Sooel Son 61 88 0 13 Jan 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 474 1,762 0 18 Sep 2019
Evaluating Fuzz Testing George Klees Andrew Ruef Benji Cooper Shiyi Wei M. Hicks 35 635 0 29 Aug 2018