AI Research Assistants Quiz

Answers and explanations appear as you take the quiz.

1. A literature search question has date and eligibility boundaries. What should be set before using semantic search?
   • The review question, date range, and inclusion criteria
   • A target number of papers to cite
   • The language model’s preferred reference style
   • The expected conclusion
2. Why combine semantic retrieval with exact terms and citation chaining?
   • Semantic search always retrieves every paper
   • Different search strategies can surface different relevant studies
   • Citation chains replace database searches
   • Exact terms only find duplicate papers
3. A model extracts a sample size from a paper. What should accompany the claim?
   • The assistant’s confidence alone
   • A second model’s summary
   • The paper passage or metadata that supports it, checked against the source
   • A link to an unrelated abstract
4. A fluent assistant produces eight citations. What does fluency establish?
   • That the search was reproducible
   • That every citation supports its claim
   • That the included studies agree
   • Nothing by itself about whether the papers exist or are relevant
5. Why preserve negative or contradictory evidence in a review?
   • It prevents the summary from hiding evidence that complicates the conclusion
   • It guarantees a balanced result by count
   • It should be excluded from all summaries
   • It makes inclusion criteria unnecessary
6. Which search record best supports a reproducible update?
   • Only a screenshot of the final reference list
   • Databases, exact queries, dates, and exclusion reasons
   • The assistant name and its answer
   • A count of citations without search details
7. A team uploads an unpublished manuscript to a research assistant. What issue needs attention?
   • Whether the assistant can format citations
   • How many pages the file contains
   • Confidentiality and provider data handling for unpublished material
   • Whether the model has a public benchmark
8. Who should approve a conclusion used in a publication or grant?
   • The assistant that generated the summary
   • The most cited author in the result set
   • A reader who has not seen the methods
   • A qualified researcher who checks it against the original sources