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EcoVLA boosts energy efficiency for VLA models by up to 236% while ensuring real-time performance, revolutionizing how robotic systems manage inference costs.
MLLMs struggle to discern genuine consensus from pseudo-consensus in multi-party meetings, revealing critical gaps in their Theory of Mind reasoning abilities.
Achieving 205脳 latency reduction in FPGA-based neural networks could redefine the benchmarks for ultra-fast inference in latency-critical applications.
Achieving globally aligned 4D reconstructions, TROPHIES outperforms existing methods by integrating human dynamics with scene geometry in a single framework.
