Guide-linked quiz · Medium Level
Grounding and Citations Quiz
Review retrieval grounding, source-linked claims, citation support and how benchmarks separately assess answer quality and attribution.
Question 1 of 8
What is the main purpose of 'grounding' an AI's answer?
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- What is the main purpose of 'grounding' an AI's answer?
- To tie the answer to specific source material instead of memory alone
- To make answers longer and more detailed
- To translate the answer into multiple languages
- To speed up how fast the model responds
- What role do citations play in a grounded system?
- They make the text sound more academic
- They link claims back to the exact supporting passage
- They hide the model's sources for privacy
- They compress the answer to save space
- Grounding and citations are the backbone of which common technique?
- Gradient descent
- Tokenization
- Retrieval-augmented generation (RAG)
- Batch normalization
- If retrieved passages do not support an answer, what conservative design policy can prevent unsupported guessing?
- The model should guess confidently anyway
- The model should make up a citation
- The model should return a random document
- The model should say it could not find the answer in the sources
- Why are ungrounded AI answers considered hard to trust for high-stakes use?
- They are unverifiable by design, with no traceable source
- They are always grammatically wrong
- They take too long to generate
- They use too much memory
- What does an automatic 'attribution check' step do?
- It rewrites the answer in a friendlier tone
- It verifies each cited span actually supports the claim
- It deletes all citations to save space
- It translates citations into footnotes
- What two aspects does the ALCE benchmark evaluate for long-form answers?
- Only response length and latency
- Audio quality and speaker identity
- Answer quality and citation quality
- Image resolution and color accuracy
- Why is counting citations alone insufficient to assess grounding?
- Every citation automatically verifies an answer
- Grounded systems never make factual errors
- Sources cannot contain text
- A cited source may not actually support the attached claim
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