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VAmoS Energy, a benchmark that combines challenges in 100 calls about utility billing and payment assistance, is introduced, showing why voice agents need evaluation across the whole call, including what they say, what they change, and how they handle competing speech.
VAmoS Bench, the Voice Agent Simulation Bench, measures complete voice-agent systems end to end in a stateful customer-support task and catches an agent that claims to have changed a card without updating the database as well as one that makes the right database change while disclosing protected information.
A variant of FocusAgent significantly reduces the success rate of prompt-injection attacks, including banner and pop-up attacks, while maintaining task success performance in attack-free settings, highlighting that targeted LLM-based retrieval is a practical and robust strategy for building web agents that are efficien...
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