Self-correction in LLMs is stable and non-degrading only when ECR/EIR exceeds initial accuracy over (1-accuracy), with EIR below 0.5% cleanly separating helpful from harmful cases across models.
MAgICoRe: Multi-Agent, Iterative, Coarse-to- Fine Refinement for Reasoning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Self-Correction as Feedback Control: Error Dynamics, Stability Thresholds, and Prompt Interventions in LLMs
Self-correction in LLMs is stable and non-degrading only when ECR/EIR exceeds initial accuracy over (1-accuracy), with EIR below 0.5% cleanly separating helpful from harmful cases across models.