Jiawei Liu

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1. ISSTA’25 / Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging

   Siyuan Feng*,  Jiawei Liu*, Ruihang Lai, Charlie Ruan, Yong Yu, Lingming Zhang, Tianqi Chen

   Proc. ACM Softw. Eng. 2 (ISSTA). Jun 2025

   PAPER Bib Artifact

   @article{feng2025productively,
     author = {Feng, Siyuan and Liu, Jiawei and Lai, Ruihang and Ruan, Charlie and Yu, Yong and Zhang, Lingming and Chen, Tianqi},
     title = {Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging},
     year = {2025},
     issue_date = {July 2025},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {2},
     number = {ISSTA},
     url = {https://doi.org/10.1145/3728957},
     doi = {10.1145/3728957},
     journal = {Proc. ACM Softw. Eng.},
     month = jun,
     articleno = {ISSTA080},
     numpages = {23},
     keywords = {Developer Productivity, Machine Learning Systems, Software Testing},
   }

2. ICML’24 / Magicoder: Empowering Code Generation with OSS-Instruct

   Yuxiang Wei, Zhe Wang,  Jiawei Liu, Yifeng Ding, Lingming Zhang

   Forty-first International Conference on Machine Learning. Jun 2024

   Adopted by Meta Llama 3.1, Google CodeGemma, and IBM Granite

   PAPER Bib Slides

   @inproceedings{wei2023magic,
     title = {Magicoder: Empowering Code Generation with {OSS}-Instruct},
     author = {Wei, Yuxiang and Wang, Zhe and Liu, Jiawei and Ding, Yifeng and Zhang, Lingming},
     booktitle = {Forty-first International Conference on Machine Learning},
     year = {2024},
     url = {https://openreview.net/forum?id=XUeoOBid3x},
   }

3. Pre-print / StarCoder 2 and The Stack v2: The Next Generation

   Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar,  Jiawei Liu, Yuxiang Wei and 56 more authors

   arXiv preprint arXiv:2402.19173. Jun 2024

   PAPER Bib

   @article{Lozhkov2024StarCoder2A,
     title = {StarCoder 2 and The Stack v2: The Next Generation},
     author = {Lozhkov, Anton and Li, Raymond and Allal, Loubna Ben and Cassano, Federico and Lamy-Poirier, Joel and Tazi, Nouamane and Tang, Ao and Pykhtar, Dmytro and Liu, Jiawei and Wei, Yuxiang and Liu, Tianyang and Tian, Max and Kocetkov, Denis and Zucker, Arthur and Belkada, Younes and Wang, Zijian and Liu, Qian and Abulkhanov, Dmitry and Paul, Indraneil and Li, Zhuang and Li, Wen-Ding and Risdal, Megan L. and Li, Jia and Zhu, Jian and Zhuo, Terry Yue and Zheltonozhskii, Evgenii and Dade, Nii Osae Osae and Yu, Wenhao and Krauss, Lucas and Jain, Naman and Su, Yixuan and He, Xuanli and Dey, Manan and Abati, Edoardo and Chai, Yekun and Muennighoff, Niklas and Tang, Xiangru and Oblokulov, Muhtasham and Akiki, Christopher and Marone, Marc and Mou, Chenghao and Mishra, Mayank and Gu, Alexander and Hui, Binyuan and Dao, Tri and Zebaze, Armel and Dehaene, Olivier and Patry, Nicolas and Xu, Canwen and McAuley, Julian and Hu, Han and Scholak, Torsten and Paquet, S{\'e}bastien and Robinson, Jennifer and Anderson, Carolyn Jane and Chapados, Nicolas and Patwary, Mostofa and Tajbakhsh, Nima and Jernite, Yacine and Ferrandis, Carlos Mu{\~n}oz and Zhang, Lingming and Hughes, Sean and Wolf, Thomas and Guha, Arjun and von Werra, Leandro and de Vries, Harm},
     journal = {arXiv preprint arXiv:2402.19173},
     year = {2024},
   }

4. NeurIPS’23 / Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

   Jiawei Liu*, Chunqiu Steven Xia*, Yuyao Wang, Lingming Zhang

   Thirty-seventh Conference on Neural Information Processing Systems. Jun 2023

   1M dataset downloads; integrated by various industries

   PAPER Bib Slides Website 🤗 HF

   @inproceedings{liu2023is,
     title = {Is Your Code Generated by Chat{GPT} Really Correct? Rigorous Evaluation of Large Language Models for Code Generation},
     author = {Liu, Jiawei and Xia, Chunqiu Steven and Wang, Yuyao and Zhang, Lingming},
     booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
     year = {2023},
     url = {https://openreview.net/forum?id=1qvx610Cu7},
   }

5. FSE’23 / NeuRI: Diversifying DNN Generation via Inductive Rule Inference

   Jiawei Liu, Jinjun Peng, Yuyao Wang, Lingming Zhang

   Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Jun 2023

   🏆 ACM SIGSOFT Distinguished Paper Award

   PAPER Bib Slides Artifact

   @inproceedings{liu2023neuri,
     title = {NeuRI: Diversifying DNN Generation via Inductive Rule Inference},
     author = {Liu, Jiawei and Peng, Jinjun and Wang, Yuyao and Zhang, Lingming},
     year = {2023},
     isbn = {9798400703270},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3611643.3616337},
     doi = {10.1145/3611643.3616337},
     booktitle = {Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
     pages = {657--669},
     numpages = {13},
     location = {San Francisco, CA, USA},
     series = {ESEC/FSE 2023},
   }

6. ASPLOS’23 / NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

   Jiawei Liu*, Jinkun Lin*, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang

   Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. Jun 2023

   🏆 Distinguished Artifact Award

   PAPER Bib Poster Slides Artifact

   @inproceedings{liu2023nnsmith,
     title = {NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers},
     author = {Liu, Jiawei and Lin, Jinkun and Ruffy, Fabian and Tan, Cheng and Li, Jinyang and Panda, Aurojit and Zhang, Lingming},
     year = {2023},
     isbn = {9781450399166},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3575693.3575707},
     doi = {10.1145/3575693.3575707},
     booktitle = {Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2},
     pages = {530--543},
     numpages = {14},
     keywords = {Deep Learning Compilers, Compiler Testing, Fuzzing},
     location = {Vancouver, BC, Canada},
     series = {ASPLOS 2023},
   }

7. OOPSLA’22 / Coverage-guided tensor compiler fuzzing with joint IR-pass mutation

   Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang

   Proceedings of the ACM on Programming Languages 6 (OOPSLA1). Apr 2022

   PAPER Bib Slides Artifact

   @article{liu2022coverage,
     title = {Coverage-guided tensor compiler fuzzing with joint IR-pass mutation},
     author = {Liu, Jiawei and Wei, Yuxiang and Yang, Sen and Deng, Yinlin and Zhang, Lingming},
     journal = {Proceedings of the ACM on Programming Languages},
     volume = {6},
     number = {OOPSLA1},
     pages = {1--26},
     year = {2022},
     publisher = {ACM New York, NY, USA},
     url = {https://doi.org/10.1145/3527317},
     doi = {10.1145/3527317},
     month = apr,
     articleno = {73},
   }