AINeutralarXiv – CS AI · 7h ago6/10
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When Helping Hurts and How to Fix It: Multi-Agent Debate for Data Cleaning
Researchers identify when multi-agent debate helps or hurts data cleaning tasks, finding it degrades generation quality but improves error detection. They establish a mathematical condition predicting debate effectiveness and demonstrate that adversarial separation with code-execution grounding can overcome critique-induced confusion, achieving the first significant improvement on generative tasks.