From the 1 of 4 linked papers with an AI index.
4 papers
Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss?
Hailong Jiang, Feng Yu, Emran Hossain +4
Optimizing compilers miss profitable transformations when their enabling semantics are absent from the analyzed program representation. We ask whether large language models (LLMs)…
BMOA: Baseline-Mechanism-Outcome Attribution for Compiler-Induced Numerical Deviations
Hailong Jiang, Emran Hossain, Feng Yu +4
The paper presents BMOA, a diagnostic framework that separates baseline, compiler mechanism, and outcome to attribute observed floating-point differences to compiler behavior and n…
Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts
Jianfeng Zhu, Hailong Jiang, Yulan Wang +3
Early substance use during adolescence increases the risk of later substance use disorders and mental health problems, yet the emotional and contextual factors driving these behavi…
Can Large Language Models Understand Intermediate Representations in Compilers?
Hailong Jiang, Jianfeng Zhu, Yao Wan +4
Intermediate Representations (IRs) play a critical role in compiler design and program analysis, yet their comprehension by Large Language Models (LLMs) remains underexplored. In t…