1Z0-1127-25 LLM Fundamentals Practice Question
Which evaluation metric is designed to measure the overlap of n-grams between a generated summary and a reference summary, focusing on recall of content words?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
ROUGE
ROUGE-N measures n-gram recall (how many n-grams from the reference appear in the generated text). BLEU measures n-gram precision. BERTScore leverages contextual embeddings. Perplexity measures likelihood under the model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Perplexity
Why it's wrong here
Perplexity measures how well the model predicts the next token, not overlap with a reference.
- ✓
ROUGE
Why this is correct
ROUGE (Recall-Oriented Understudy for Gisting Evaluation) measures recall of n-grams between generated and reference summaries.
- ✗
BERTScore
Why it's wrong here
BERTScore uses cosine similarity of BERT embeddings, not n-gram overlap.
- ✗
BLEU
Why it's wrong here
BLEU measures n-gram precision, not recall.
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