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vLLM-Based Inference Pipeline Enhances Unified Audio Understanding and Generation
A new vLLM-based inference pipeline addresses limitations in high-throughput engines for multimodal generation, particularly in Speech Language Models. It enables unified handling of multi-layered audio token generation that conflicts with standard single-stream loops.
This pipeline improves efficiency in generating complex audio outputs by overcoming challenges in synchronous multi-token prediction and decoupled autoregressive/non-autoregressive methods. It advances the capabilities of large multimodal models in audio understanding and generation tasks.
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Score 82
Source Type arxiv
Reposts 0
Topic Quality 54
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