Author

Zhuo Li

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#artificial intelligence Preprint Aug 2026

DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation

The core design principle of DELE-w0.5 is to model how the physical world changes under robot actions, rather than how its visual appearance evolves frame by frame, which enables cheaper training and low-latency inference.

Fenghao Lei, Zhixiong Huang, Long Yang et al. · 0 citations

Preprint Aug 2026

VisCache: Visual KV Cache Pruning for Efficient Vision Large Language Model Inference

VisCache is proposed, a plug-and-play framework for coarse-to-fine KV pruning without training that consistently outperforms existing baselines, establishing a new Pareto frontier between efficiency and performance for long-context VLLM inference.

Lyuke Wang, Zhuo Li, Guangxu Zhu · 0 citations