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VQV Signal

RESEARCH SOURCE-BACKED TECHNICAL

APEX-Voice Benchmark Tests Full-Duplex Voice Agents on Professional Workflows

APEX-Voice is a new benchmark featuring 120 interactive professional workflows across ten work archetypes to evaluate full-duplex voice agents. It assesses whether these agents can correctly complete tasks like form completion, negotiation, and consulting during spoken interactions.

Source: arXiv · arxiv.org Published 2026-09-28T11:53:07+00:00 Detected 2026-09-29T05:21:03+00:00
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APEX-Voice is a new benchmark featuring 120 interactive professional workflows across ten work archetypes to evaluate full-duplex voice agents. It assesses whether these agents can correctly complete tasks like form completion, negotiation, and consulting during spoken interactions.

AI-assisted summary based on the listed source.

Full-duplex voice agents can now listen, speak, use tools, and act during spoken interactions, but fluent dialogue does not guarantee correct completion of delegated professional workflows. We introduce APEX-Voice, a benchmark of 120 interactive professional workflows spanning ten work archetypes such as form...

While full-duplex voice agents can engage in fluent dialogue, APEX-Voice highlights that conversational ability alone does not ensure accurate task completion in professional settings. This benchmark provides a structured way to measure and improve voice agents' practical effectiveness.

Signal Strength 95% Technical label SOURCE-BACKED Public Interest 39 Category RESEARCH Reader Depth TECHNICAL

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Public Interest components
Recognizable Entity Score 0 Practical Impact Score 28 Novelty Interest Score 94 Consequence Score 34 Curiosity Score 48 Shareability Score 50

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