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Mingyue Shang
Mingyue Shang
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Title
Cited by
Cited by
Year
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism.
C Tao, S Gao, M Shang, W Wu, D Zhao, R Yan
IJCAI, 4418-4424, 2018
1452018
Multi-lingual evaluation of code generation models
B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ...
arXiv preprint arXiv:2210.14868, 2022
73*2022
Semi-supervised text style transfer: Cross projection in latent space
M Shang, P Li, Z Fu, L Bing, D Zhao, S Shi, R Yan
arXiv preprint arXiv:1909.11493, 2019
432019
Ape210k: A large-scale and template-rich dataset of math word problems
W Zhao, M Shang, Y Liu, L Wang, J Liu
arXiv preprint arXiv:2009.11506, 2020
402020
Learning to Converse with Noisy Data: Generation with Calibration.
M Shang, Z Fu, N Peng, Y Feng, D Zhao, R Yan
IJCAI 7, 2018
342018
Context-to-session matching: Utilizing whole session for response selection in information-seeking dialogue systems
Z Fu, S Cui, M Shang, F Ji, D Zhao, H Chen, R Yan
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
152020
One" Ruler" for all languages: multi-lingual dialogue evaluation with adversarial multi-task learning
X Tong, Z Fu, M Shang, D Zhao, R Yan
arXiv preprint arXiv:1805.02914, 2018
142018
Who is speaking to whom? learning to identify utterance addressee in multi-party conversations
R Le, W Hu, M Shang, Z You, L Bing, D Zhao, R Yan
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
122019
Entity resolution in open-domain conversations
M Shang, T Wang, M Eric, J Chen, J Wang, M Welch, T Deng, A Grewal, ...
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
102021
Recode: Robustness evaluation of code generation models
S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan, B Ray, ...
arXiv preprint arXiv:2212.10264, 2022
92022
Baishakhi Ray, Parminder Bhatia, et al. 2022. ReCode: Robustness Evaluation of Code Generation Models
S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan
arXiv preprint arXiv:2212.10264, 2022
52022
Find a reasonable ending for stories: Does logic relation help the story cloze test?
M Shang, Z Fu, H Yin, B Tang, D Zhao, R Yan
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 10031 …, 2019
32019
Greener yet powerful: Taming large code generation models with quantization
X Wei, S Gonugondla, W Ahmad, S Wang, B Ray, H Qian, X Li, V Kumar, ...
arXiv preprint arXiv:2303.05378, 2023
12023
Token Alignment via Character Matching for Subword Completion
B Athiwaratkun, S Wang, M Shang, Y Tian, Z Wang, SK Gonugondla, ...
arXiv preprint arXiv:2403.08688, 2024
2024
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
G Ryan, S Jain, M Shang, S Wang, X Ma, MK Ramanathan, B Ray
arXiv preprint arXiv:2402.00097, 2024
2024
Random token segmentation for training next token prediction models
Z Wang, T Yuchen, M Shang, P Athiwaratkun, M Tan, P Bhatia, AO Arnold, ...
US Patent App. 17/847,118, 2023
2023
Constrained prefix matching for generating next token predictions
P Athiwaratkun, T Yuchen, M Shang, Z Wang, RM Nallapati, P Bhatia, ...
US Patent App. 17/847,115, 2023
2023
Towards greener yet powerful code generation via quantization: An empirical study
X Wei, SK Gonugondla, S Wang, W Ahmad, B Ray, H Qian, X Li, V Kumar, ...
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
2023
Few-shot data-to-text generation via unified representation and multi-source learning
AH Li, M Shang, E Spiliopoulou, J Ma, P Ng, Z Wang, B Min, W Wang, ...
arXiv preprint arXiv:2308.05317, 2023
2023
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