LLMs in Compiler Construction

Authors

• Raffi Khatchadourian, CUNY Hunter CollegeFollow

Document Type

Lecture or Presentation

Publication Date

5-12-2026

Abstract

These lecture slides survey the use of large language models (LLMs) in compiler construction for a graduate compiler course (CSc 81010). They situate LLMs across the compiler pipeline and examine representative work: foundation models trained on LLVM IR and assembly (Meta's LLM Compiler), LLM-driven code optimization, binary decompilation (LLM4Decompile), and LLM-assisted automated refactoring—alongside the challenges of applying probabilistic models to tasks that demand correctness. The slides are a self-contained HTML (W3C Slidy) deck with editable Pandoc Markdown source. Part of a two-session unit on advanced compiler topics; see also "Deep Learning Compilers."

Comments

Editable source, build instructions, and license: https://github.com/CSc-81010-Spring-2026/LLM-Compilers

Creative Commons License

This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.