
The Frontier
Peking University's 591-run RL study finds uniform sampling wins
A Peking University group built the comparison platform, ran the experiments, and reported the boring answer: with everything else held constant, the data policy is not what moves the score. The sharper finding is that the benchmark summary you choose can flip which method looks best. Peking University's Data-Centric AI group ran 591 reinforcement-learning experiments to test whether cleverer data policies beat plain uniform sampling, and could not find one that reliably does. The paper, DataFl










