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cs.CV2026
Improving Video Sparse Attention with Fine-grained Router and Sparse Rebasing
Peiyuan Zhang, Guoqiang Wei, Yilong Zhao +7
We present VSA2, a frontier trainable sparse attention for video DiTs. VSA2 includes a variety of new architectural features and training procedures that we apply across all stages…
cs.LG2026
d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
Yu-Yang Qian, Junda Su, Lanxiang Hu +4
Diffusion large language models (dLLMs) offer capabilities beyond those of autoregressive (AR) LLMs, such as parallel decoding and random-order generation. However, realizing these…