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Achieving a tcpMER of 17.97, this system reduces error rates significantly by leveraging advanced diarization and ASR adaptation techniques.
Wat3R achieves superior underwater 3D geometry estimation without any annotated data, leveraging unlabeled footage to overcome the challenges of light attenuation and scattering.
Achieving a staggering 96.5% human acceptance rate, EmbodiedGen V2 transforms how we create and utilize 3D environments for embodied AI training.
Aligning soft-token representations across languages can boost multilingual reasoning accuracy by over 17 points, especially for low-resource languages.
NOVA reduces silent failures in recommender systems by over 13x while boosting performance metrics by up to 2.02% in online A/B testing.
EAMP boosts robotic navigation safety by dynamically adapting to unforeseen events, achieving superior performance without sacrificing real-time responsiveness.
Forget painstakingly designing simulation environments: generative 3D world models let you RL-fine-tune robot VLAs with massive scene diversity, boosting real-world transfer by 3x.