4 papers
Phonetic forced alignment for low-resource language varieties: Model training and evaluation on Chengdu Mandarin
Zhiheng Qian, Aini Li, Hai Hu +1
Phonetic forced alignment is a key technique in phonetic research, yet existing alignment systems lack specialized models for low-resource language varieties. We address this by tr…
The First ChineseBabyLM Challenge: training data-efficient and cognitively plausible language models for Chinese
Siyuan Song, Zhiheng Qian, Yunhao Zhang +11
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 10…
A Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese
Yikang Liu, Yeting Shen, Hongao Zhu +9
We present ZhoBLiMP, the largest linguistic minimal pair benchmark for Chinese, with over 100 paradigms, ranging from topicalization to the \textit{Ba} construction. We then train…
Math Natural Language Inference: this should be easy!
Valeria de Paiva, Qiyue Gao, Hai Hu +4
We ask whether contemporary LLMs are able to perform natural language inference (NLI) tasks on mathematical texts. We call this the Math NLI problem. We construct a corpus of Math…