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False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents

Self-evolving search agents can produce misleading training signals when a question proposer and solver learn from the same pseudo-labels. Their agreement may increase because they share errors, even while correctness against the source material stagnates. This paper calls that failure mode “co-che…

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  1. 2026-10-08 19:29 · r/learnmachinelearning
    False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents

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