AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work presents CallScreenBench, which reports five automated call-and-note measure groups motivated by owner endorsement, and reports quality measures and guardedness channels separately so that a single pass/fail score does not hide their trade-offs.
This work analyzes a complete corpus of 10,211 inbound scam and spam calls collected over 54 days by an AI voice-agent honeypot that answered callers and kept them talking, and introduced in a companion data descriptor.
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