test-time-rl

The paper proposes label-free bias-only TTRL, which uses majority-vote pseudo-labels as rewards and optimizes only ~100K bias parameters with a frozen backbone, reaching 76.67% on MATH-500 with Qwen2.5-7B and transferring across vision-language and audio reasoning tasks.