Pengfei Liu

DUET achieves a groundbreaking balance in video generation, delivering high-quality visuals while preserving twice the diversity of traditional methods.

Modular TTT reveals that the right combination of learning rate and weight decay can significantly boost performance, while deeper architectures may actually degrade results.

Tailoring pretraining data processing to individual examples can lead to significant performance improvements in LLMs while cutting down on compute costs.