BLEU (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.

Authors

• Person: Not available Organization: Springer
  A survey on augmenting knowledge graphs (KGs) with large ...

Sources

• A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer via serper

Referenced by nodes (3)

• Large Language Models concept
• knowledge graphs concept
• BLEU concept