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Renfen Hu

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#natural language process... Preprint Nov 2026

Phonological Knowledge of Chinese Characters in Language Models

How much phonological knowledge do language models (LMs) possess about Chinese characters, and how is this knowledge represented and used? We introduce PinyinBench, a controlled benchmark covering homophones, phonological features (initials, finals, and tones), and polyphonic characters. We investigate 17 text-only and...

Xiao-Zhe Ji, Ren-Fen Hu, Hai Hu · 0 citations
Jul 2026

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

The first ChineseBabyLM Challenge, organized as part of NLPCC 2026, asked participants to train language models from scratch using no more than 102M Chinese words and provides a benchmark for advancing data-efficient and cognitively plausible approaches to Chinese language modeling.

Siyuan Song, Zhiheng Qian, Yun-Hao Zhang et al. · 0 citations

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