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Why Self-Correction Loops Can Degrade Reliability in LLM Pipelines (85% Down to 62%)

This story is from 2026-08-22. It is preserved in the archive; the latest stories are on the live feed.

In structured data extraction, adding an LLM-as-a-judge self-correction loop is often expected to improve accuracy. In practice, our pipeline showed the opposite: standalone extraction scored ~85% consistency , but introducing a validation/retry loop dropped consistency to 62% or lower. Architectur…

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  1. 2026-08-22 04:35 · r/artificial
    Why Self-Correction Loops Can Degrade Reliability in LLM Pipelines (85% Down to 62%)

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