Zero-shot LLMs with a new prompting method outperform prior unsupervised approaches on 13 of 14 readability datasets, and the hybrid LAURAE method improves robustness across languages, lengths, and technical content.
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Zero-shot Large Language Models for Automatic Readability Assessment
Zero-shot LLMs with a new prompting method outperform prior unsupervised approaches on 13 of 14 readability datasets, and the hybrid LAURAE method improves robustness across languages, lengths, and technical content.