4 papers
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…
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…
When Grammar Guides the Attack: Uncovering Control-Plane Vulnerabilities in LLMs with Structured Output
Shuoming Zhang, Jiacheng Zhao, Hanyuan Dong +9
Content Warning: This paper may contain unsafe or harmful content generated by LLMs that may be offensive to readers. Large Language Models (LLMs) increasingly serve as tooling pla…
A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications
Lei Chen, Shi Liu, Chenxi Wang +9
With rapid advances in network hardware, far memory has gained a great deal of traction due to its ability to break the memory capacity wall. Existing far memory systems fall into…