Calibrated Surprise: An Information-Theoretic Account of Creative Quality 事件

Calibrated Surprise: An Information-Theoretic Account of Creative Quality arXiv:2604.26269v2 Announce Type: replace Abstract: In the era of large language models, creative writing quality lacks a computable theoretical anchor. The dominant approaches are rubric scoring -- decomposing holistic aesthetic judgment into sub-scores -- and RLHF preference signals -- replacing quality with group votes. Both bypass the statistical structure of the text itself. This paper provides an information-theoret