Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning

Large language models produce fluent but often incorrect multi-step reasoning, and naive correction methods risk degrading already-correct answers. We introduce Denoising Iterative Self-Correction (DISC), a test-time procedure that treats verification question outputs as noisy measurements of where …

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