1 citations · 1 across the 4 of their papers we have counts for
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
Formalizing compiler-aware numerical correctness requires distinguishing what an observed floating-point difference means, what compiler behavior the evidence supports, and what nu…
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…
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…