Describe the pipeline from high-level abstract specifications to verified HDL code.
How your tool scrapes or parses app binaries/metadata.
Discuss the rise of "AI-first" apps and the need for transparency for users and regulators. Methodology:
Option 2: Hardware Design Automation (Computer Architecture) If your work relates to for hardware synthesis:
Address the "expertise gap" in hardware design and the need for automated HDL (Hardware Description Language) generation.
Highlight the transition from manual heuristics to LLM-based detection. Mention that your method identifies significantly more AI-integrated apps than existing rule-based systems.
Use a RAR extraction utility to access the contents of LMMaid.rar if you haven't already.
Check arXiv or ACM Digital Library to ensure your draft cites the most recent versions of these frameworks.