AI phone agents succeed on single-step commands but fail on multi-step compositions; a new benchmark measures this gap and a scheduler that decomposes tasks recovers most of it.
Os agents: A survey on mllm-based agents for general computing devices use, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Atomic-to-Compositional Generalization for Mobile Agents with A New Benchmark and Scheduling System
AI phone agents succeed on single-step commands but fail on multi-step compositions; a new benchmark measures this gap and a scheduler that decomposes tasks recovers most of it.