When Helping Hurts and How to Fix It: Multi-Agent Debate for Data Cleaning

Chirag Parmar, Akshat Mehta, Henglin Wu, Jagadish Ramamurthy, Shweta Medhekar

Jun 3, 2026 at 04:00

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arXiv:2606.02866v1 Announce Type: new Abstract: When does multi-agent debate help data cleaning, and when does it hurt? Across three benchmarks, four model families, and over 6,000 task-condition pairs, we find debate's effect reverses sign: it degrades generation across all four models (-1.6 to -15.5pp) through critique-induced confusion (CIC),...

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