Two summaries express the same meaning with different wording.
Do not rely on automatic matching alone.
Choose two practices.
Use string metrics such as ROUGE for regression comparisons but assess factuality, omission, and safety with human or additional evaluation.
Detailed explanation
Large comparisons and semantic quality are separated.
Large comparisons and semantic quality are separated.
Meaning not captured by overlap is checked.
Meaning not captured by overlap is checked.
Matching words can still form false claims.
Matching words can still form false claims.
Serious individual failures can be hidden.
Serious individual failures can be hidden.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 3.3の生成AI評価、品質指標、人手評価を確認する。Expected result
文字列一致と意味・事実性の違いを説明できる。Key points
- ROUGE
- Factuality
- Human review
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.