Kaiwen Zheng

Smaller multimodal emotion models can outperform their larger counterparts, achieving state-of-the-art results with significantly improved efficiency.

RecRec reveals that decoupling reasoning from prediction can significantly enhance sequential recommendation performance, breaking free from the constraints of fixed-dimensional states.

Stream-aware adaptation can significantly enhance the performance of large multimodal models in sequential recommendation, overcoming traditional limitations of layer degradation.

Voice-controlled video generation just got a major upgrade with Vidu S1, achieving real-time performance without visual distortion.

Frozen LLMs can dynamically improve their reasoning abilities at test time, without any training, by distilling knowledge from their own successes and failures.