Yu Liu

Zero-data multimodal self-training has focused on what tasks to generate next and less on when a task pool has stopped supplying learning signal. A-RSI hands the timing to the training log: when the count of prompts with within-group reward variation falls at least 15% relative to two windows earlier, or logged accuracy rises at least ten points, the whole pool is replaced with 400 unused program-generated tasks whose answers are computed rather than voted. Qwen3-VL-8B-Instruct rises from 57.77 to 61.05 on the equal-weight average of eleven benchmarks using 800 fresh tasks, while an every-window control reaches 60.64 with 3,200.

Zero-data multimodal self-training has focused on what tasks to generate next and less on when a task pool has stopped supplying learning signal. A-RSI hands the timing to the training log: when the count of prompts with within-group reward variation falls at least 15% relative to two windows earlier, or logged accuracy rises at least ten points, the whole pool is replaced with 400 unused program-generated tasks whose answers are computed rather than voted. Qwen3-VL-8B-Instruct rises from 57.77 to 61.05 on the equal-weight average of eleven benchmarks using 800 fresh tasks, while an every-window control reaches 60.64 with 3,200.