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ORCIDJiawei Liu 0004
Other persons with the same name
- Jiawei Liu — disambiguation page
- Jiawei Liu 0001
![[0000-0001-9940-6366]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9940-6366")
— University of Science and Technology of China, Department of Information and Intelligence, Hefei, China - Jiawei Liu 0002 — Wuhan University, Wuhan, Hubei, China
- Jiawei Liu 0003 — Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
- Jiawei Liu 0005 — Australian National University, Canberra, ACT, Australia
- Jiawei Liu 0006 — Beijing University of Posts and Telecommunications, Beijing, China
- Jiawei Liu 0007 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
2020 – today
- 2025
[c7]Ruihang Lai, Junru Shao, Siyuan Feng, Steven Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared Roesch, Todd C. Mowry, Tianqi Chen:
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. ASPLOS (2) 2025: 998-1013- 2024
- [j2]Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, Lingming Zhang:
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models. Proc. ACM Program. Lang. 8(OOPSLA2): 709-735 (2024) - [c6]Yifeng Ding, Jiawei Liu, Yuxiang Wei, Lingming Zhang:
\mathcal XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. ACL (1) 2024: 12941-12955 - [c5]Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang:
Magicoder: Empowering Code Generation with OSS-Instruct. ICML 2024 - [c4]Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang:
SelfCodeAlign: Self-Alignment for Code Generation. NeurIPS 2024 - [i16]Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i15]Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen:
Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development. CoRR abs/2404.09151 (2024) - [i14]Yifeng Ding, Jiawei Liu, Yuxiang Wei, Terry Yue Zhuo, Lingming Zhang:
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts. CoRR abs/2404.15247 (2024) - [i13]Jiawei Liu, Jia Le Tian, Vijay Daita, Yuxiang Wei, Yifeng Ding, Yuhan Katherine Wang, Jun Yang, Lingming Zhang:
RepoQA: Evaluating Long Context Code Understanding. CoRR abs/2406.06025 (2024) - [i12]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - [i11]Jiawei Liu, Songrun Xie, Junhao Wang, Yuxiang Wei, Yifeng Ding, Lingming Zhang:
Evaluating Language Models for Efficient Code Generation. CoRR abs/2408.06450 (2024) - [i10]Jiawei Liu, Thanh Nguyen, Mingyue Shang, Hantian Ding, Xiaopeng Li, Yu Yu, Varun Kumar, Zijian Wang:
Learning Code Preference via Synthetic Evolution. CoRR abs/2410.03837 (2024) - [i9]Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang:
SelfCodeAlign: Self-Alignment for Code Generation. CoRR abs/2410.24198 (2024) - 2023
- [c3]Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang:
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers. ASPLOS (2) 2023: 530-543 - [c2]Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang:
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation. NeurIPS 2023 - [c1]Jiawei Liu, Jinjun Peng, Yuyao Wang, Lingming Zhang:
NeuRI: Diversifying DNN Generation via Inductive Rule Inference. ESEC/SIGSOFT FSE 2023: 657-669 - [i8]Jiawei Liu, Jinjun Peng, Yuyao Wang, Lingming Zhang:
NeuRI: Diversifying DNN Generation via Inductive Rule Inference. CoRR abs/2302.02261 (2023) - [i7]Yuanwei Fang, Zihao Liu, Yanheng Lu, Jiawei Liu, Jiajie Li, Yi Jin, Jian Chen, Yen-Kuang Chen, Hongzhong Zheng, Yuan Xie:
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network. CoRR abs/2304.08880 (2023) - [i6]Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang:
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation. CoRR abs/2305.01210 (2023) - [i5]Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, Lingming Zhang:
White-box Compiler Fuzzing Empowered by Large Language Models. CoRR abs/2310.15991 (2023) - [i4]Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen:
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR abs/2311.02103 (2023) - [i3]Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang:
Magicoder: Source Code Is All You Need. CoRR abs/2312.02120 (2023) - 2022
- [j1]Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang:
Coverage-guided tensor compiler fuzzing with joint IR-pass mutation. Proc. ACM Program. Lang. 6(OOPSLA1): 1-26 (2022) - [i2]Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang:
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation. CoRR abs/2202.09947 (2022) - [i1]Jiawei Liu, Jinkun Lin, Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang:
Finding Deep-Learning Compilation Bugs with NNSmith. CoRR abs/2207.13066 (2022)
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