To make this practical, I first define a calibrated rubric over the digits 0-9 (there’s only one token for each digit), where each digit corresponds to a clear qualitative description. At the scoring step, I capture the model’s next-token logits and retain only the logits corresponding to those valid digit tokens. This avoids contamination from unrelated continuations such as explanation text, punctuation, or alternate formatting. After renormalizing over the restricted digit set, I interpret the resulting probabilities as a categorical score distribution.
专访英国48家集团主席杰克·佩里：全球数据组织促数据成为国际桥梁
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美伊双方就霍尔木兹海峡管控权展开博弈，特朗普调整原定计划。，详情可参考易歪歪
2026年4月11日17:52 国际