Author

Hongao Zhu

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Preprint Jul 2026

The First ChineseBabyLM Challenge: training data-efficient and cognitively plausible language models for Chinese

This paper presents the first ChineseBabyLM Challenge, organized as part of NLPCC 2026. The challenge asked participants to train language models from scratch using no more than 102M Chinese words. The models were evaluated on three tracks: natural language understanding, cognitive alignment, and Hanzi knowledge. There...

Siyuan Song, Zhiheng Qian, Yunhao Zhang et al. · 0 citations

#natural language process... May 2025

Vectors from Larger Language Models Predict Human Reading Time and fMRI Data More Poorly when Dimensionality Expansion is Controlled

The impressive linguistic abilities of large language models (LLMs) have recommended them as models of human sentence processing, with some conjecturing a positive'quality-power'relationship, in which language models'(LMs') fit to psychometric data continues to improve as their ability to predict words in context incre...

Yi-Chien Lin, Hongao Zhu, William Schuler · arXiv.org · 4 citations