Naveen Vakada

Label-free steering: Compressing test-time reinforcement learning into bias-only subspaces

A label-free bias-only TTRL, which uses majority-vote pseudolabels as rewards and optimizes only ~100K bias parameters while keeping the pretrained backbone frozen, demonstrating that substantial test-time adaptation can emerge from optimizing a tiny bias-only subspace using entirely label-free rewards.