FoE (Forest of Errors) is a novel method for large reasoning models that identifies why first solutions tend to outperform later attempts. The research reveals insights into reasoning model behavior that could improve inference strategies and model reliability.
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FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models
Forest of Errors reveals that initial reasoning attempts in large language models typically outperform subsequent refinement attempts, suggesting current multi-try inference strategies may be suboptimal.
Monday, April 6, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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