AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes Agentic-GER, an LLM-based agent for terminology correction in long-form speech, which uses global context from the full transcript to identify suspicious terms and resolve ambiguous hypotheses.
Qwen-Audio-3.0-ASR is presented, a Mixture-of-Experts (MoE) LLM-based ASR system designed to address production demands through a unified, instruction-following framework and demonstrates state-of-the-art or highly competitive recognition performance across a broad range of evaluation conditions.
This work proposes Spoken Function Calling (SFC), a novel semantic understanding perspective that optimizes semantic understanding with structured rule definitions, to evolve beyond traditional closed-set SLU.
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