Pengfei Liu

Ditching pixel-space translation unlocks a unified model (LatentUM) that reasons across modalities with SOTA results, opening doors to more efficient and aligned visual AI.

AI can now design better AI: ASI-Evolve discovers SOTA architectures, curates pretraining data, and designs RL algorithms, outperforming human-designed baselines by significant margins.