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Zhenyang Fan

1 accepted papers

2026

AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization

ICLR 2026poster

The advent of Vision-Language-Action (VLA) models represents a significant leap for embodied intelligence, yet their immense computational demands critically hinder deployment on resource-constrained robotic platforms. Intuitively, low-bit quantization is a prevalent and preferred technique for larg…

Cited by 0SourcecodeScholar