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The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains computationally expensive, and large KV caches continue to strain HBM and SSD capacity and data-transfer bandwidth. Togeth...
DSpark is introduced, a speculative decoding framework that unifies high-throughput parallel generation with adaptive, load-aware verification, and enables performance tiers that were previously unattainable, shifting the Pareto frontier of the DeepSeek-V4 serving system.
OmniVAE is presented, a jointly trained audio-video VAE that learns fine-grained semantic alignment between audio and video latent representations that translates into higher generation quality and more accurate cross-modal synchronization in downstream text-to-audio-video generation.
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