TTPO Enables Test-Time Learning Without Ground Truth

A paper highlighted by Turing Post, TTPO (Test-Time Policy Optimization), lets models improve at test time using self-voting pseudo-labels with no ground truth, raising Qwen3-1.7B's average accuracy from 38% to 45.2%.

2026-09-02 ~ 2026-09-02 · 2 related posts

• TTPO paper: Qwen3-1.7B lifts accuracy from 38.0% to 45.2% without ground-truth labels — TheTuringPost · 2026-09-02
• TTPO: models learn at test time without ground truth via majority-vote pseudo-labels — TheTuringPost · 2026-09-02