TacitVLA: Reasoning Vision-Language-Action Models Without Re
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency. TacitVLA is a vision-language-action model that improves performance without the latency of explicit reasoning. By decoupling action generation from reasoning, it achieves up to 3.4x lower latency while maintaining perfo…
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- arXiv Robotics — research abstractsTacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency
TacitVLA is a vision-language-action model that improves performance without the latency of explicit reasoning. By decoupling action generation from reasoning, it achieves up to 3.4x lower latency while maintaining performance on tasks like manipulation and autonomous driving. It outperforms prior results on several benchmarks, including RoboMME and RMBench.
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