Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity

Documenti analoghi

• How fair are we? From conceptualization to automated assessment of fairness definitions
  di: d'Aloisio, Giordano, et al.
  Pubblicazione: (2024)
• Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling
  di: Bulhakov, Vladyslav, et al.
  Pubblicazione: (2025)
• On the use of Large Language Models in Model-Driven Engineering
  di: Di Rocco, Juri, et al.
  Pubblicazione: (2024)
• Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy?
  di: Ibiyo, Motunrayo, et al.
  Pubblicazione: (2025)
• Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning
  di: Nguyen, Phuong T., et al.
  Pubblicazione: (2024)