Researcher: randomize everything when evaluating decider models—offline signals don't hold on real traffic
din0s_ · x · 2026-10-31
Researcher din0s argues that when evaluating decider models, you should randomize everything. Evaluations contain a lot of exploitable signals that do not hold on real traffic, so offline metrics may overstate live performance. The thread also touches on the field re-discovering counterfactual LTR from first principles as IR regains popularity.
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