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.
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