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We would expect a well calibrated model to have logits that make sense. If the highest weight was on ‘7’, we would expect the rest of the weight to be on ‘6’ and ‘8’ right? but often its bimodal, with low weight on 6 and ‘5’, but more weight than expected on ‘4’!We can write ‘10’ in tokens as either ‘10’ or ‘1’ and then ‘0’. Its not fun to have to calculate the summed probabilities over paths, especially if you wanted to score 1-100Rather than sampling a single discrete score, I treat the judge’s output as a distribution over valid rating labels and compute the final score as its expectation.
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2026-03-12 00:00:00:0本报记者 杨 昊 李 硕 程 红 ——全国政协十四届四次会议闭幕侧记。业内人士推荐超级权重作为进阶阅读
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