A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese

cs.CL, cs.AI

Submitted: 2026-10-04

Updated: 2026-10-06

Comments: 15 pages, 3 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
• Few-shot Learning with Multilingual Language Models
• N-gram-like Language Models Predict Reading Time Best
• Qwen2.5 Technical Report
• CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models
• Qwen2 Technical Report
• OPT: Open Pre-trained Transformer Language Models

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