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. 2308.04898
  4. Cited By
An Empirical Study on Using Large Language Models to Analyze Software
  Supply Chain Security Failures

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures

9 August 2023
Tanmay Singla
Dharun Anandayuvaraj
Kelechi G. Kalu
Taylor R. Schorlemmer
James C. Davis
ArXivPDFHTML

Papers citing "An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures"

3 / 3 papers shown
Title
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
Shahin Honarvar
Mark van der Wilk
Alastair Donaldson
80
6
0
28 Jan 2025
InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
Yinzhu Quan
Zefang Liu
LLMAG
45
2
0
16 Jul 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review
When LLMs Meet Cybersecurity: A Systematic Literature Review
Jie Zhang
Haoyu Bu
Hui Wen
Yu Chen
Lun Li
Hongsong Zhu
45
36
0
06 May 2024
1