hypothesis
active
hypothesis:humans-prefer-representative-distributions-over-non-representative-ones-when-evaluating-outputs-at-the-distribution-level-providing-a-reward-gap-that-vs-exploitsHumans prefer representative distributions over non-representative ones when evaluating outputs at the distribution level, providing a reward gap that VS exploits
Assumption D.3 formalized in the theoretical framework; empirically validated with coin-flip sequence experiments
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extracted_from(2025) · Jiayi Zhang · Simon C.H. Yu · Derek Chong · Anthony Sicilia +3
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cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
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- Base models assign higher likelihood to typical-set (representative) sequences than to degenerate sequences under VS promptshypothesis0.768Assumption D.6 formalized in the theoretical framework; empirically validated with coin-flip typicality rating experiments
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