Xueru Zhang
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126
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AI×1ML×1
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2026
When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
This paper analyzes multi-model self-consuming training, showing that while human curation helps individual models, cross-model interactions can degrade long-term alignment by dampening or inverting the positive effects of human input.
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