A system returns more documents. What usually happens to the two scores?
- Recall rises, precision usually sinks
- Both scores always rise together
- Both scores freeze whatever is returned
What is your first job when opening an unfamiliar paper?
- Memorizing the method details
- Say the claim in one sentence
- Counting the references
A win on one easy data set proves the model is better in general.
Circle one: True False
Why read the evaluation before the method?
- Methods are never worth reading
- What the results actually show
- Evaluations are shorter than methods
A paper quotes only precision for its retriever. What do you ask next?
- The font of the results table
- The authors' favorite baseline
- Recall on the same setup
A paper beats a weak baseline and declares victory. What is the sharpest question?
- Which strong baseline was skipped
- How many pages the related work spans
- Whether the title could be punchier
A paper pairs thin numbers with vivid user stories. How do you read it?
- Let the stories carry the claim, since numbers bore readers
- Test numbers and stories separately
- Average the stories into the tables
A result rests on users typing normally, but half typed with gloves on. What changed?
- Nothing, since data is data
- The load-bearing assumption failed
- The method section grows by one paragraph