First ChineseBabyLM Challenge Announced for NLPCC 2026

Jul 14, 2026

The first ChineseBabyLM challenge will be held at the 2026 NLPCC conference, inviting researchers to train language models from scratch using 100 million Chinese tokens. The competition will evaluate models on three tracks: natural language understanding (NLU), cognitive alignment, and Hanzi knowledge, with no restrictions on tokenizer, model architecture, or training epochs.

Why it matters: This challenge aims to advance research on data-efficient and cognitively plausible language models for Chinese, encouraging approaches that better reflect human-like language acquisition in a non-English context.

Full story at: arXiv Computation and Language ↗