Unverified50% confidenceFactExact time
Compared to the previous best system, MLR delivers nearly a fivefold improvement in identifying critical errors (from 14.81% to 73.43%).
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
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Related Claims
UnverifiedThe MLR system achieved a catch rate of 73.43% in identifying core-claim errors.77% similarUnverifiedThe previously best-performing system achieved a catch rate of only 14.81% in identifying core-claim errors.72% similarUnverifiedJCE所谓的'可靠'实际只有约60%的准确率，因误差累积连续5步后整体成功率仅剩约7.8%69% similarUnverifiedWhen using the multi-agent verification process, MARCH's accuracy was suppressed to 4.4%, whereas when the same model was directly asked which solution was better, accuracy reached 43.7%.69% similarUnverified多项研究表明，多智能体系统中的错误传播率可达单Agent的3-5倍67% similar
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