Author

Zhuoran Song

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Jul 2026

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference

This paper proposes VQVLA, an algorithm-hardware co-design framework that accelerates VLA inference by exploiting weight similarity and execution dynamics, and proposes a merged-centroid vectorized GEMM paradigm that operates on the codebook-index representation.

Zhuoran Song, Haozhe Jiang, Chunyu Qi et al. · arXiv.org · 0 citations

Preprint Aug 2026

Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification

Comprehensive evaluations on OpenVLA and RDT across LIBERO and ManiSkill benchmarks show that SpecVLA reduces end-to-end latency significantly while preserving task success rate, and achieves real-time robotic manipulation with both high efficiency and reliability.

Chunyu Qi, Zhuoran Song, Jian Weng et al. · 0 citations