Always Look at the Data: Run Dumb Baselines to Catch Eval Set Biases

antoine_chaffin · x · 2026-10-14

Clarifying that his finding isn't a stab at Jev, the author's real takeaway is: always look at the data.

Training and evaluation sets are full of biases (length, position, etc.), and it's easy to fall into them. His advice: always run a few dumb baselines — they catch the biggest biases. A practical lesson from his HLE decision benchmark analysis.

Related event: Zero-parameter "pick the longest answer" model beats decision models on HLE benchmark(6 posts)→

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