3 papers
cs.PL2026
Beyond Pass-by-Pass Optimization: Intent-Driven IR Optimization with Large Language Models
Lei Qiu, Zi Yang, Fang Lyu +3
Modern compilers optimize programs through a sequence of modular passes over intermediate representations (IR). While this pass-by-pass paradigm offers engineering benefits, it suf…
cs.PL2026
The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers
Shuoming Zhang, Jiacheng Zhao, Qiuchu Yu +4
This survey has provided a systematic overview of the emerging field of LLM-enabled compilation by addressing several key research questions. We first answered how LLMs are being i…
cs.PL2025
LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability
Shuoming Zhang, Jiacheng Zhao, Chunwei Xia +4
Large language models (LLMs) have the potential to revolutionize how we design and implement compilers and code translation tools. However, existing LLMs struggle to handle long an…