Unverified50% confidenceFactExact time
Reducing problem difficulty or substituting a larger reviewer model could not alleviate MARCH's failure.
1
Sources
50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
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Related Claims
UnverifiedThe study explicitly states that neither increased model scale nor enhanced explicit reasoning capabilities provides resistance to this persuasion-based failure.72% similarVerifiedWhen the model itself lacks the capability to understand a specific problem, no amount of prompt engineering can compensate for this deficiency72% similarUnverifiedClosed-loop success rate has serious limitations as a single evaluation metric, and relying solely on latent distance to guide action selection is insufficient.71% similarUnverifiedThe improvement ceiling of runtime improvement is constrained by the base model's inherent capabilities, and the model cannot break through the knowledge and reasoning boundaries obtained during pre-training through runtime optimization.70% similar
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