Jiawei Liu

I’m a Ph.D. candidate at UIUC PL/FM/SE, advised by Lingming Zhang.

I am generally interested in Programming Systems and Machine Learning.

📬 jiawei6@illinois.edu is the shortest path to find me.

Papers Show More

  1. Pre-print
    Learning Code Preference via Synthetic Evolution
    arXiv preprint arXiv:2410.03837. 2024
  2. COLM’24
    Evaluating Language Models for Efficient Code Generation
    Jiawei Liu, Songrun Xie, Junhao Wang, Yuxiang WeiYifeng Ding,  and Lingming Zhang
    First Conference on Language Modeling. 2024
  3. ICML’24
    Magicoder: Empowering Code Generation with OSS-Instruct
    Yuxiang WeiZhe WangJiawei LiuYifeng Ding,  and Lingming Zhang
    Forty-first International Conference on Machine Learning. 2024
     Adopted by Meta Llama 3.1, Google CodeGemma, and IBM Granite.
  4. NeurIPS’23
    Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
    Thirty-seventh Conference on Neural Information Processing Systems. 2023
  5. ESEC/FSE’23
    Atifact AvailableAtifact Reusable
    NeuRI: Diversifying DNN Generation via Inductive Rule Inference
    Jiawei LiuJinjun PengYuyao Wang,  and Lingming Zhang
    Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 2023
     🏆 ACM SIGSOFT Distinguished Paper Award
  6. ASPLOS’23
    Atifact AvailableAtifact FunctionalResults Reproduced
    NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
    Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. 2023
     🏆 Distinguished Artifact Award
  7. OOPSLA’22
    Atifact AvailableAtifact Reusable
    Coverage-guided tensor compiler fuzzing with joint IR-pass mutation
    Proceedings of the ACM on Programming Languages 6 (OOPSLA1). Apr 2022

Invited Talk

Programming Systems, Uber: Evaluating LLMs for Correct & Efficient Code Generation Sept 2024

ARiSE Lab, Columbia University: Simplify the Making of Great Software in the ML Era April 2024

Snowflake GenAI: Rigorous Evaluation of LLMs for Code (Slides) Feb 2024

AST Lab, ETH Zürich: Generating Test-Cases for ML Compilers (Slides) Jan 2024

GAI4SE, NC State University: LLMs for Software Testing (Guest Lecture) Nov 2023

Apache TVM Conference: Automating DL Compiler Bug Finding with NNSmith Mar 2023

SAMPL, University of Washington: Coverage-Guided Tensor Compiler Fuzzing (Slides) May 2022

Service

Organizing: LLM4Code@ICSE'24

Program Committee/Reviewer: ASE'24, TSE, TOSEM, NeurIPS'24

Artifact Evaluation Committee: PLDI'23, OSDI'22, ATC'22