I am a PhD candidate in Computational Linguistics at Stony Brook University, affiliated with Institute for Advanced Computational Science (IACS). I am fortunate to be advised by Dr. Owen Rambow.

Prior to coming to Stony Brook, I completed a bachelor's degree in Chinese Language and Literature from Hunan University, and a master's degree in Applied linguistics from University of Saskatchewan.

My research spans large-scale studies of language use, data augmentation, text clustering, explainable AI, and foundation model evaluation. Currently, I focus on on evaluating Large (Vision/Audio) Language Models with a human-centric perspective. I aim to bridge technical performance with real-world impact. I am a longlife learner at heart, so my research topics keep evolving over time.

News

Research

For a full and up-to-date list of publications, please check my Google Scholar page.

LVLMs are Bad at Overhearing Human Referential Communication
Zhengxiang Wang, Weiling Li, Panagiotis Kaliosis, Owen Rambow, Susan Brennan
EMNLP 2025 (Main)
   

Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors
Zhengxiang Wang*, Nafis Irtiza Tripto*, Solha Park, Zhenzhen Li, Jiawei Zhou
EMNLP 2025 (Findings)
   

LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing
Zhengxiang Wang, Veronika Makarova, Zhi Li, Jordan Kodner, Owen Rambow
ACL 2025 (Main)
   

Evaluating LLMs with Multiple Problems at once
Zhengxiang Wang, Jordan Kodner, Owen Rambow
GEM 2025
   

Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents
Zhengxiang Wang, Owen Rambow
NLP+CSS @ NAACL 2024
   

Learning Transductions and Alignments with RNN Seq2seq models
Zhengxiang Wang
ICGI 2023 | PMLR
   

Developing literature review writing skills through an online writing tutorial series: Corpus-based evidence
Zhi Li, Makarova Veronika, Zhengxiang Wang
Frontiers in Communication 2023

Random Text Perturbations Work, but not Always
Zhengxiang Wang
Eval4NLP @ AACL-IJCNLP 2022

Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations
Hongtao Hao, Yumian Cui, Zhengxiang Wang, Yea-Seul Kim
IEEE Transactions on Visualization and Computer Graphics 2022
 

Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching
Zhengxiang Wang
ICNLSP 2022 | ACL Anthology
 

A macroscopic re-examination of language and gender: a corpus-based case study in the university classroom setting
Zhengxiang Wang
MA Thesis, University of Saskatchewan, 2021