Mingyue Shang

About Mingyue Shang

Mingyue Shang, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Peking University, specializes in the field of natural language processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

BASS: Batched Attention-optimized Speculative Sampling

Token Alignment via Character Matching for Subword Completion

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM

Towards greener yet powerful code generation via quantization: An empirical study

Few-shot data-to-text generation via unified representation and multi-source learning

Greener yet powerful: Taming large code generation models with quantization

Random token segmentation for training next token prediction models

Constrained prefix matching for generating next token predictions

Mingyue Shang Information

University

Position

___

Citations(all)

371

Citations(since 2020)

359

Cited By

115

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Mingyue Shang Skills & Research Interests

natural language processing

Top articles of Mingyue Shang

Title

Journal

Author(s)

Publication Date

BASS: Batched Attention-optimized Speculative Sampling

arXiv preprint arXiv:2404.15778

Haifeng Qian

Sujan Kumar Gonugondla

Sungsoo Ha

Mingyue Shang

Sanjay Krishna Gouda

...

2024/4/24

Token Alignment via Character Matching for Subword Completion

arXiv preprint arXiv:2403.08688

Ben Athiwaratkun

Shiqi Wang

Mingyue Shang

Yuchen Tian

Zijian Wang

...

2024/3/13

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM

arXiv preprint arXiv:2402.00097

Gabriel Ryan

Siddhartha Jain

Mingyue Shang

Shiqi Wang

Xiaofei Ma

...

2024/1/31

Towards greener yet powerful code generation via quantization: An empirical study

Xiaokai Wei

Sujan Kumar Gonugondla

Shiqi Wang

Wasi Ahmad

Baishakhi Ray

...

2023/11/30

Few-shot data-to-text generation via unified representation and multi-source learning

arXiv e-prints

Alexander Hanbo Li

Mingyue Shang

Evangelia Spiliopoulou

Jie Ma

Patrick Ng

...

2023/8

Greener yet powerful: Taming large code generation models with quantization

arXiv preprint arXiv:2303.05378

Xiaokai Wei

Sujan Gonugondla

Wasi Ahmad

Shiqi Wang

Baishakhi Ray

...

2023/3/9

Random token segmentation for training next token prediction models

2023/12/28

Constrained prefix matching for generating next token predictions

2023/12/28

Recode: Robustness evaluation of code generation models

arXiv preprint arXiv:2212.10264

Shiqi Wang

Zheng Li

Haifeng Qian

Chenghao Yang

Zijian Wang

...

2022/12/20

Multi-lingual evaluation of code generation models

arXiv preprint arXiv:2210.14868

Ben Athiwaratkun

Sanjay Krishna Gouda

Zijian Wang

Xiaopeng Li

Yuchen Tian

...

2022/10/26

Entity resolution in open-domain conversations

Mingyue Shang

Tong Wang

Mihail Eric

Jiangning Chen

Jiyang Wang

...

2021/6

Ape210k: A large-scale and template-rich dataset of math word problems

arXiv preprint arXiv:2009.11506

Wei Zhao

Mingyue Shang

Yang Liu

Liang Wang

Jingming Liu

2020/9/24

Context-to-session matching: Utilizing whole session for response selection in information-seeking dialogue systems

Zhenxin Fu

Shaobo Cui

Mingyue Shang

Feng Ji

Dongyan Zhao

...

2020/8/23

See List of Professors in Mingyue Shang University(Peking University)

Co-Authors

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