Jiawei Liu
I’m a Ph.D. candidate at University of Illinois Urbana-Champaign, working with Lingming Zhang. My research explores how Software Engineering/Programming Language can benefit and benefit from Machine Learning and its systems, with a focus on improving software reliability & quality and developer productivity.
📰 Some recent blog & hacking: R1 for Code Generation and Speculative Code Editing.
📬 Shortest path to me: jiawei6@illinois.edu
Papers
- NeurIPS’23 / Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationThirty-seventh Conference on Neural Information Processing Systems. Aug 2023Over 700k HuggingFace downloads; integrated by various industries
Awards & Honors
Illinois Innovation Award ($20K) 2025
Amazon AICE Ph.D. Fellowship ($70K) 2025
Machine Learning and Systems Rising Stars 2024
Warren W. Yee Memorial Fellowship, University of Illinois 2024
Invited Talk
NLP+SE Seminar, UT Austin: Smelling the Quality of LLM-generated Code Mar 2025
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'{24,25} (Publicity Chair)
Program Committee/Reviewer: ASE'24, TSE, TOSEM, NeurIPS'24, ICLR'25
Teaching
CS 427 by Darko Marinov Spring 2025