About

Hello! My name is Qingcheng Zeng (曾庆诚), and I also go by Steve. Currently, I am a third-year PhD student in the Computation and Linguistic Mechanisms Lab, Department of Linguistics at Northwestern University, working with Professor Rob Voigt and Professor Kaize Ding on natural language processing (NLP), computational linguistics, and social computing.

Before that, I received my bachelor in linguistics from the University of Manchester and Zhejiang University in 2021. After graduation, I am honored to work as a full-time research assistant with Dr. Jie Yang at Zhejiang University.

My main research interests are at the intersection of NLP, sociolinguistics, and psycholinguistics, including but not limited to topics like pragmatic reasoning in large language models, automatic discourse processing, NLP for Social Good, NLP for Political Science, and efficient NLP. During my undergraduate studies, I worked extensively in computational phonology and sociophonetics with Dr. Patrycja Strycharczuk. In sociophonetics, I am particularly interested in using statistical learning and deep learning methods to detect language variations and changes.

Feel free to contact me if your research lies within these or related areas! Feel free to reach me by DM on Twitter.

[Google Scholar] [Twitter] [CV]

Education

• Northwestern University, 2022-Present

  PhD in Computational Linguistics, Advisor: Professor Rob Voigt

• University of Manchester, 2019-2021

  BA (Hons) in Linguistics

• Zhejiang University, 2017-2021

  BA in English Language and Literature

Publications

^* denotes equal contribution; ^# denotes the corresponding author.

• Large Language Models Are Partially Primed in Pronoun Interpretation

  Suet-Ying Lam^*, Qingcheng Zeng^*#, Kexun Zhang^*, Chenyu You, Rob Voigt

  Accepted at Findings of ACL 2023

  [Paper] / [Codes]

• GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost

  Qingcheng Zeng^*, Lucas Garay^*, Peilin Zhou^*, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang^#

  Accepted at IJCAI 2023 (AI and Social Good Track)

  [Paper] / [Codes]

• A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives

  Qingcheng Zeng, An-ran Li

  COLING 2022

  [Paper]

• Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective

  Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang^#

  INTERSPEECH 2022

  [Paper]

• Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection

  Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng

  INTERSPEECH 2022

  [Paper]

• Fancy Man Lauches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction

  Haoding Meng^*, Qingcheng Zeng^*, Xiaoyang Fang, Zhexin Liang

  W-NUT 2020

  [Paper]

Manuscripts

^* denotes equal contribution.

• Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training

  Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng

  Accepted at ICASSP 2023

  [Paper]

• Filter and Evolve: Progressive Pseudo Label Refining for Semi-supervised Automatic Speech Recognition

  Zezhong Jin, Dading Chong, Xiao Song, Zhaoyi Liu, Naipeng Ye, Qingcheng Zeng

  [Paper]

Service

Reviewer: ICTAI 2022, AACL 2022, AACL-IJCNLP 2023

Personal

When I am not doing computational linguistics and NLP, I enjoy jogging, cooking Chinese food, and playing guitar.