AIBearisharXiv – CS AI · 3h ago7/10
🧠
Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines
Researchers discovered that multi-stage LLM pipelines (used for debate, self-correction, and verification) fail due to a specific mechanism: models detect problematic upstream content but fail to correct it, creating a 'detection-without-correction' failure mode. Testing across four model families and four benchmarks reveals conditional miscorrection rates of 53-94%, explaining why accuracy plateaus and debate gains don't replicate on frontier models.