CallScreenBench: Benchmarking Small Language Models as Phone Secretaries
Language models small enough to run on a handset, quantized to a few bits, are increasingly capable of acting on their user's behalf -- which makes on-device task automation newly plausible. One such task is answering the phone. A phone secretary takes an unknown inbound call on its owner's behalf, and unlike the agents most benchmarks evaluate, it has no cooperative caller-assigned task to complete: the caller holds the goal and may be an adversary, while the secretary must begin deciding how to respond without an oracle. What matters is not task success but whether the owner would endorse how their proxy handled the call. We evaluate only the text-domain conversational decision layer; s...
| Authors | Jiaqi Gan, Haoyuan Tang, Jamey Z. Liang et al. |
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| Primary category | cs.CR |
| Published | 2 August 2026 |
| Last updated at source | 21 August 2026 |
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