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Mind-VLA outperforms traditional instruction-agnostic methods by 32 percentage points in real-robot tasks, showcasing the power of instruction-aware spatial alignment.
E-TTS achieves up to a 33.14% performance boost in robotic manipulation by leveraging historical context and iterative refinement, redefining how we approach test-time scaling.
Ditch slow, verbose chain-of-thought reasoning: PLUME's latent reasoning slashes inference time by 30x while boosting multimodal embedding performance.
