Jiawei Liu

Orcid: 0000-0001-7122-8625

Affiliations:
  • University of Illinois at Urbana-Champaign, IL, USA


According to our database1, Jiawei Liu authored at least 22 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
PurpCode: Reasoning for Safer Code Generation.
CoRR, July, 2025

Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging.
Proc. ACM Softw. Eng., 2025

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models.
Proc. ACM Program. Lang., 2024

Learning Code Preference via Synthetic Evolution.
CoRR, 2024

Evaluating Language Models for Efficient Code Generation.
CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR, 2024

RepoQA: Evaluating Long Context Code Understanding.
CoRR, 2024

XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts.
CoRR, 2024

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development.
CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.
CoRR, 2024

SelfCodeAlign: Self-Alignment for Code Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Magicoder: Empowering Code Generation with OSS-Instruct.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

\mathcal XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Magicoder: Source Code Is All You Need.
CoRR, 2023

White-box Compiler Fuzzing Empowered by Large Language Models.
CoRR, 2023

NPS: A Framework for Accurate Program Sampling Using Graph Neural Network.
CoRR, 2023

NeuRI: Diversifying DNN Generation via Inductive Rule Inference.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, 2023

2022
Coverage-guided tensor compiler fuzzing with joint IR-pass mutation.
Proc. ACM Program. Lang., 2022

Finding Deep-Learning Compilation Bugs with NNSmith.
CoRR, 2022


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