An Efficient vLLM-Based Inference Pipeline for Unified Audio Understanding and Generation

Researchers have introduced a new inference pipeline that integrates audio comprehension and generation within the vLLM framework. By providing native support for multimodal tasks, the system improves processing efficiency for speech language models that previously required separate, decoupled architectures.