A data science team needs to quantitatively assess how closely a foundation model's generated answers match reference answers in meaning, even when the wording is different. Which metric should they use for this semantic-similarity evaluation?
ROUGE
Perplexity
BERTScore
BLEU
BERTScore compares the contextual embeddings of tokens produced by models like BERT for both candidate and reference texts. By aligning embeddings rather than exact surface forms, it captures semantic overlap, making it well-suited for measuring meaning similarity.
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