Publications on this page are updated sporatically.

2025

Hongao Zhu, Hai Hu. (in prep). Assessing the Comprehension and Production in LLMs: A Case Study of Syntactic and Semantic Constraints in the Ba Construction. TACL.

Hongao Zhu, Lei Lei. (2025). Detecting Authorship Between Generative AI Models and Humans: A Burrows’s Delta Approach. Digital Scholarship in the Humanities, fqaf048. [pdf]

Byung-Doh Oh, Hongao Zhu, William Schuler. (2025). The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage. In Findings of the Association for Computational Linguistics: ACL 2025. [ACL anthology] [pdf]

Yi-Chien Lin, Hongao Zhu, William Schuler. (2025). Vectors from Larger Language Models Predict Human Reading Time and fMRI Data More Poorly when Dimensionality Expansion is Controlled. ArXiv preprint arXiv:2505.12196. [pdf]

Hongao Zhu, Muxiaoqiao Xu, Siyuan Song, Yikang Liu, Yuxia Wang, Hai Hu. (Under Review). A Preliminary Analysis of the Predicative Power of Surprisal in Reading Chinese. NAACL 2025 Workshop CMCL Submission.

2024

Yikang Liu, Yeting Shen, Hongao Zhu, Lilong Xu, Zhiheng Qian, Siyuan Song, Kejia Zhang, Jialong Tang, Pei Zhang, Baosong Yang, Rui Wang, Hai Hu. (2024). ZhoBLiMP: a Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese. ArXiv preprint arXiv:2411.06096. [pdf]