ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.04748
  4. Cited By
Fuzz4All: Universal Fuzzing with Large Language Models
v1v2 (latest)

Fuzz4All: Universal Fuzzing with Large Language Models

9 August 2023
Chun Xia
Matteo Paltenghi
Jia Le Tian
Michael Pradel
Lingming Zhang
    ELM
ArXiv (abs)PDFHTML

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
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?
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
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
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
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
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
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
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
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
PILMLRM
517
6,293
0
05 Apr 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
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
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
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
VLMSyDa
221
3,987
0
28 Jul 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
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
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
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
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
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
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
1,766
0
18 Sep 2019
Evaluating Fuzz Testing
Evaluating Fuzz Testing
George Klees
Andrew Ruef
Benji Cooper
Shiyi Wei
M. Hicks
35
635
0
29 Aug 2018
1