Author

Xin Wang

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Preprint Oct 2026

Remembering What Matters for Long-Horizon Robotic World Models

Autoregressive robot video world models based on discrete visual tokens remain unreliable over long rollout horizons. Retaining the entire generated history does not necessarily improve prediction quality. We investigate a possible memory-role conflict in Full Context decoding: persistent scene information, recent visu...

Hao Wu, Tian-Yu Shao, Sheng-Ju Qian 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

Jul 2026

MemVLN: Episodic and Procedural Memory for Vision-and-Language Navigation

MemVLN is proposed, a novel VLN framework that achieves state-of-the-art performance with real-time inference efficiency (14 FPS) and introduces Procedural Memory for fast action with a compact vocabulary of atomic mid-level actions to bypass auto-regressive decoding latency.

Yuqi Liu, Sheng-Ju Qian, Tianyuan Qu et al. · arXiv.org · 0 citations