Glossary · Term

closed-book

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Definition

Plain language

Answering a question with no access to outside lookup, just from what the model already learned.

As stated in the literature

An evaluation setting in which a model answers without retrieval or tool access; used as a floor to measure how much benchmark performance comes from parametric knowledge alone.

Also called: closed book

Why it matters: It reveals how much of a benchmark score comes from the model's built-in knowledge versus its ability to look things up, separating recall from research.

For example, asking a model the capital of a country with no internet or documents to consult tests whether it simply memorized the fact during training.

Heard on the show

“The whole contribution is a way to teach the closed-book version the same trick — without ever paying a human to grade a single critique.”
Episode 099 — How an Open-Book Trick Teaches a Model to Catch Its Own Mistakes

Mentioned in 4 episodes

  1. 099
    How an Open-Book Trick Teaches a Model to Catch Its Own Mistakes
  2. 092
    When Search Agents Don't Really Search: The Memory Shortcut Hiding in Browsing Benchmarks
  3. 090
    How MiniMax-M2 Bets That Sparsity Plus Verifiable Rewards Can Match Frontier Agents
  4. 043
    When 'This Is False' Doesn't Stick: Why Models Learn the Lie Anyway