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LLM-based ASR models can achieve state-of-the-art performance and reduce hallucinations by strategically allocating entropy reduction between the speech encoder and LLM during training.
Open-source ATLAS unlocks rapid, accurate co-design of 3D-DRAM memory systems and LLM accelerators, previously hindered by closed-source tools and customized designs.
Forget retraining: a new DeepFake detection framework maintains state-of-the-art performance while adapting to new forgery techniques without replaying historical data.
Existing audio deepfake detectors are sitting ducks outside the lab: AT-ADD introduces a challenge to push research towards real-world robustness and generalization across all audio types.
