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Mingyue Shang
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Journal Articles
- 2024
- [j1]Gabriel Ryan
, Siddhartha Jain
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. 1(FSE): 951-971 (2024)
Conference and Workshop Papers
- 2024
- [c17]Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras:
BASS: Batched Attention-optimized Speculative Sampling. ACL (Findings) 2024: 8214-8224 - [c16]Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang:
Token Alignment via Character Matching for Subword Completion. ACL (Findings) 2024: 15725-15738 - [c15]Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras:
CodeFort: Robust Training for Code Generation Models. EMNLP (Findings) 2024: 5262-5277 - 2023
- [c14]Shiqi Wang, Zheng Li, Haifeng Qian
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 2023: 13818-13843 - [c13]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) 2023: 16171-16189 - [c12]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 - [c11]Xiaokai Wei
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - 2021
- [c10]Mingyue Shang, Tong Wang, Mihail Eric, Jiangning Chen, Jiyang Wang, Matthew Welch, Tiantong Deng, Akshay Grewal, Han Wang, Yue Liu, Yang Liu, Dilek Hakkani-Tür:
Entity Resolution in Open-domain Conversations. NAACL-HLT (Industry Papers) 2021: 26-33 - 2020
- [c9]Bing Han, Zhenxiang Chen, Cong Liu, Mingyue Shang:
Design and Implementation of Big Data Management Platform for Android Applications. ICBDT 2020: 36-40 - [c8]Zhenxin Fu, Shaobo Cui, Mingyue Shang, Feng Ji, Dongyan Zhao, Haiqing Chen, Rui Yan:
Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems. KDD 2020: 1605-1613 - 2019
- [c7]Mingyue Shang, Zhenxin Fu, Hongzhi Yin
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? AAAI 2019: 10031-10032 - [c6]Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan:
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations. EMNLP/IJCNLP (1) 2019: 1909-1919 - [c5]Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan:
Semi-supervised Text Style Transfer: Cross Projection in Latent Space. EMNLP/IJCNLP (1) 2019: 4936-4945 - [c4]Cong Liu, Zhenxiang Chen, Dong Cao, Mingyue Shang:
Application of Recommender System in Intelligent Community under Big Data Scenario. ICBDT 2019: 92-96 - 2018
- [c3]Mingyue Shang, Zhenxin Fu, Nanyun Peng, Yansong Feng, Dongyan Zhao, Rui Yan:
Learning to Converse with Noisy Data: Generation with Calibration. IJCAI 2018: 4338-4344 - [c2]Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan:
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. IJCAI 2018: 4418-4424 - [c1]Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan:
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning. IJCAI 2018: 4432-4438
Informal and Other Publications
- 2024
- [i12]Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR abs/2402.00097 (2024) - [i11]Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang:
Token Alignment via Character Matching for Subword Completion. CoRR abs/2403.08688 (2024) - [i10]Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras:
BASS: Batched Attention-optimized Speculative Sampling. CoRR abs/2404.15778 (2024) - [i9]Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras:
CodeFort: Robust Training for Code Generation Models. CoRR abs/2405.01567 (2024) - [i8]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) - 2023
- [i7]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) - [i6]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR abs/2308.05317 (2023) - 2022
- [i5]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) - [i4]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. CoRR abs/2212.10264 (2022) - 2019
- [i3]Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan:
Semi-supervised Text Style Transfer: Cross Projection in Latent Space. CoRR abs/1909.11493 (2019) - 2018
- [i2]Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan:
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning. CoRR abs/1805.02914 (2018) - [i1]Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan:
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? CoRR abs/1812.05411 (2018)
Coauthor Index
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