Unverified50% confidenceBenchmarkExact time
Compared to standard LoRA, counterfactual mDPO improved decision accuracy from 93.33% to 96.67%.
1
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50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
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Related Claims
UnverifiedThe text-only baseline model achieved a decision accuracy of 33.33%, which improved to 93.33% after introducing dual evidence tokens.79% similarUnverifiedEvidence-driven pre-improvement validation improved precision from 58.6% to 72.3%, and reduced unsupported objectives per round from 1.93 to 0.50.75% similarUnverifiedRaising the confidence level from 95% to 99% (z-value 2.576) will expand the margin of error by approximately 31% for the same sample size.72% similarUnverifiedReplacing DCUF evidence with UnifEE evidence improved the strict score by 9.61 percentage points, while the improvement in answer accuracy was only 1.96 percentage points.71% similarUnverified作者验证有93%的概率质量正确对齐，信息损失并非映射逻辑的bug71% similar
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