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

A-RSI introduces adaptive task refresh for zero-data multimodal self-improvement by monitoring reward variation and accuracy in training logs to refresh a task pool when its learning signal declines, using a static library of model-authored programs to generate multimodal questions and derive reference answers without external training examples or human-written labels.