Author

Qing-Hai Guo

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Preprint Aug 2026

Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model Selection

Environment-aware Model Selection (EMS), an adaptive VLA inference framework that switches between two fully decoupled systems of different scales through environment-aware model selection, and offers three key advantages over prior hierarchical VLA frameworks: a fully decoupled and modular dual-system architecture tha...

Yuewei Sun, Lang Qin, Zechuan Tian et al. · 0 citations

Open access Jul 2026

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs

An Adaptive Depth Sparse Framework (AdaDSF) that converts off-the-shelf pre-trained LLMs into depth-sparse models without full retraining and consistently yields smaller accuracy degradation than strong baselines including MoD, D-LLM, and DLO.

Yi-Da Wu, Xiang Wang, Kejie Zhao et al. · International Conference on... · 0 citations