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Tong-Tong Liang

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#machine learning Preprint Sep 2026

Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers

In diffusion-based generation, a neural network can be trained to predict the clean data, the noise, or the velocity from a noisy input, yet plain Diffusion Transformers operating on large pixel patches succeed with clean prediction and fail with noise or velocity prediction.

Tong-Tong Liang, Si-Qi Kou, Zi-Qiao Xi et al. · 0 citations

Preprint Sep 2026

Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout

Mask Forcing, a Dual-Noise Masking Rollout strategy that perturbs the AR student self-rollout to mitigate mode collapse induced by reverse-KL mode seeking, improves multiple AR video diffusion distillation methods with higher visual quality efficiently, without incorporating real video data or additional post-training...

Zhuo-Ran Zhao, Sheng-Ju Qian, Tong-Tong Liang et al. · 2 citations