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Knowledge graphs and BLEU are related because [1] describes BLEU as a metric used to evaluate text quality in large language models integrated with knowledge graphs by comparing generated text to human-written references.
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A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com 1 fact
formulaBLEU (Bilingual Evaluation Understudy) is a metric used to evaluate text quality in large language models integrated with knowledge graphs by comparing generated text to human-written reference texts, calculated as BLEU = BP * exp(sum(w_n * log(p_n))), where BP is the brevity penalty, w_n are weights, and p_n are precision scores for n-grams.