Why held-out answers train better models: reasoning under information asymmetry, explained
kalomaze · x · 2026-10-07
kalomaze offers an intuition pump: forcing a model to rely on stylistic/situational cues (e.g., predicting whether a writer can go through pregnancy, without Mumsnet's header giving it away) is a stronger learning signal. He ties this to a broader principle — even RLVR with held-out answers manufactures a brutally steep information asymmetry, compelling the model to derive correct answers via reasoning.
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