hypothesis
active
hypothesis:humans-prefer-representative-distributions-over-non-representative-ones-when-evaluating-outputs-at-the-distribution-level-providing-a-reward-gap-that-vs-exploits

Humans 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

Source paper

extracted_from
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
(2025) · Jiayi Zhang · Simon C.H. Yu · Derek Chong · Anthony Sicilia +3

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cosine ≥ 0.65 · no typed edge

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