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An alignment-path distillation framework for streaming automatic speech recognition (ASR) with large language models (LLMs) that extracts monotonic alignment paths from a non-streaming teacher's soft text-audio attention and uses them to construct interleaved training sequences.
KubeCap reduces Kubernetes capability configurations by nearly 55%, directly addressing a critical security gap in containerized workloads.
FireRedAudio achieves state-of-the-art performance in audio understanding and generation by leveraging decoupled continuous representations, setting a new standard for unified audio-language models.
