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Open access Aug 2026

EcoVLA: Energy-Efficient Device-Edge Co-inference for Vision-Language-Action Models Under Real-Time Constraints

EcoVLA is proposed, an adaptive device-edge co-inference framework for VLA models that maximizes system energy efficiency under real-time constraints and incorporates a lightweight transmission mechanism for inter-stage intermediate tensors to reduce the communication overhead incurred by cross-device collaboration.

Ao Zhou, Bo Dai, Le Yu et al. · 1 citation
#artificial intelligence Preprint Aug 2026

Dynamic Alignment Compensation for Hallucination Mitigation in Large Vision-Language Models

Experiments show that DAC consistently reduces hallucinations while maintaining strong overall performance, and combines Layer-wise Semantic Compensation to mitigate inter-layer degradation with Sequential Semantic Correction to constrain temporal drift.

Kai-Rong Yu, Zi-Xin Zhu, Le Yu et al. · 0 citations

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