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ORCIDQing Sun 0013
Person information
- affiliation: Amazon, AWS AI Labs, AWS NGDE Science, Santa Clara, CA, USA
Other persons with the same name
- Qing Sun — disambiguation page
- Qing Sun 0001 — Virginia Tech, VA, USA
- Qing Sun 0002 — Shanghai Jiao Tong University, Shanghai, China
- Qing Sun 0003
![[0000-0002-9662-2685]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-9662-2685")
— Shanghai University, Shanghai, China (and 2 more) - Qing Sun 0004 — Beihang University, Beijing, China
- Qing Sun 0005 — Shanghai Ocean University, Shanghai, China
- Qing Sun 0006 — Southeast University, Nanjing, China
- Qing Sun 0007 — Harbin University of Commerce, Harbin, China
- Qing Sun 0008 — Air Force Engineering University, Xi'an, China
- Qing Sun 0009 — University of Strasbourg, Strasbourg, France
- Qing Sun 0010 — Chinese Academy of Meteorological Sciences, Beijing, China (and 1 more)
- Qing Sun 0011 — Chinese Academy of Sciences, Chinese Academy of Sciences, China
- Qing Sun 0012 — Beijing Institute of Technology, Beijing, China
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2020 – today
- 2025
[c7]Yifeng Ding, Hantian Ding, Shiqi Wang, Qing Sun, Varun Kumar, Zijian Wang:
Planning-Aware Code Infilling via Horizon-Length Prediction. EMNLP 2025: 32930-32942- 2024
- [c6]Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang:
Bifurcated Attention for Single-Context Large-Batch Sampling. ICML 2024: 1971-1991 - [i7]Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang:
Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR abs/2403.08845 (2024) - [i6]Yifeng Ding, Hantian Ding, Shiqi Wang, Qing Sun, Varun Kumar, Zijian Wang:
Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning. CoRR abs/2410.03103 (2024) - 2023
- [c5]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c4]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati:
Multi-lingual Evaluation of Code Generation Models. ICLR 2023 - [c3]Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - [i5]Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR abs/2303.05378 (2023) - [i4]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. CoRR abs/2307.02435 (2023) - 2022
- [i3]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - 2021
- [c2]Qing Sun, Parminder Bhatia:
Neural Entity Recognition with Gazetteer based Fusion. ACL/IJCNLP (Findings) 2021: 3291-3295 - [i2]Qing Sun, Parminder Bhatia:
Neural Entity Recognition with Gazetteer based Fusion. CoRR abs/2105.13225 (2021) - 2020
- [c1]Kristjan Arumae, Qing Sun, Parminder Bhatia:
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. EMNLP (1) 2020: 4854-4864 - [i1]Kristjan Arumae, Qing Sun, Parminder Bhatia:
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. CoRR abs/2010.00784 (2020)
Coauthor Index
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