Are models better at tasks where the grader can be automated?

In short

It checks out, across the board, measured checks pass more often.

Finding

In Taking Jaggedness Seriously, Helen Toner says that models get good first at tasks a computer can check, because that is what they can be trained on. Every check here is either measured by a script or decided by my eye. So we now have a script to count and see if it agrees with that thesis.

Across all 327 runs, measured checks passed 82% of the time and eye checks 72%, so that checks out.

Verdict

Note: On the eight tasks that have both kinds, it flips: measured checks passed 64% and eye checks 78%. But that is a small sample so need to have more diverse tasks.

n = . No test.

Which checks fell first, task by task.

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