Researchers wrote GSM1k, fresh math problems like GSM8K. What happened to some models' scores?

They dropped, by up to 8 percent, a sign of overfitting to the old test.

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  1. They dropped, by up to 8 percent ✔
  2. They rose sharply
  3. They stayed exactly the same for all

Why: A brand new held-out test that no model could have trained on shows real skill. Some model families scored worse on it than on GSM8K, suggesting they had partly memorized the public benchmark.

Huh, didn't know that: Many frontier models showed little sign of overfitting and did well on the new problems.

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GSM1k is the pop quiz the AI didn't study for. Some of them panicked, just like me.
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References

Answer: They dropped, by up to 8 percent. A brand new held-out test that no model could have trained on shows real skill. Some model families scored worse on it than on GSM8K, suggesting they had partly memorized the public benchmark.

  1. Zhang et al., A Careful Examination of Large Language Model Performance on Grade School Arithmetic arxiv.org/abs/2405.00332
    we observe accuracy drops of up to 8%, with several families of models showing evidence of systematic overfitting
    Checked 2026-10-11.
  2. Zhang et al., A Careful Examination of Large Language Model Performance on Grade School Arithmetic arxiv.org/abs/2405.00332
    many models, especially those on the frontier, show minimal signs of overfitting
    Checked 2026-10-11.

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