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28 OCT 2026 · Paper

A-RSI: Adaptive Task Refresh for Zero-Data Multimodal Self-Improvement

This paper introduces A-RSI, a method that helps AI models decide when to stop learning from their current experience and introduce new tasks, without relying on external validation or human feedback. By monitoring the model's learning signal and accuracy, A-RSI can automatically refresh the task pool, leading to improved performance.

multimodal self-improvement continual learning task refresh zero-data training adaptive learning

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A-RSI: Adaptive Task Refresh for Zero-Data Multimodal Self-Improvement