Unverified50% confidenceBenchmarkExact time
Two LLM judges, when comparing full answers, found that no baseline method beats the original base model, while ASC's answers were rated as 'on par' with the base model.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
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Related Claims
UnverifiedThe authors state they will not provide unverified rankings and do not claim that any model comprehensively outperforms others, because a perfect score on 72 fixed cases cannot prove that a model performs equally well on unseen samples.67% similarUnverified模型的基准分数更高并不等于在所有场景下都更好用64% similarUnverifiedTraditional benchmarks have become ineffective for evaluating model reasoning ability because almost every model may have seen the standard answers in its training data.64% similarUnverifiedMcNemar检验的零假设是b和c在总体中相等，即两个模型犯错方向对称，无系统性优劣64% similarUnverifiedThe model showed the highest confidence (95%) on underdetermined problems (problems with no unique correct answer), exhibiting a reverse calibration phenomenon.63% similar
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