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Matching papers

AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses

107 upvotes · 12 AUG 2026 · Cheng Qian, Wenting Zhao, Liangwei Yang et al.

This paper explores a new approach to transferring capabilities from strong AI models to weaker ones at test time, rather than just during training. Practitioners might care about this because it could lead to more efficient and effective use of powerful models in real-world applications.

AI model distillationtest-time transfercognitive architecturebenchmarkingreinforcement learning