DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments
LLM-based agents have rapidly improved at operating individual digital environments such as mobile applications, desktop systems, and smart homes. However, real-world user goals often span multiple devices: information may come from a phone, be processed on a desktop, and the result may need to appear on another device. Most existing benchmarks center on a single dominant execution environment, making it difficult to evaluate whether agents can acquire and integrate information across heterogeneous devices and complete end-to-end tasks with cross-device dependencies. We introduce DevicesWorld,
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 87%NirDiamant/GenAI_Agents →
“Fuzzy title match (0.94): “DevicesWorld: Benchmarking Cross-Device Agents in Heterogene” ≈ “NirDiamant/GenAI_Agents””
- FuzzySimilar title/name (fuzzy) · 84%Unity-Technologies/ml-agents →
“Fuzzy title match (0.92): “DevicesWorld: Benchmarking Cross-Device Agents in Heterogene” ≈ “Unity-Technologies/ml-agents””
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzySimilar title/name (fuzzy) · 59%datawhalechina/hello-agents →
“Fuzzy title match (0.73): “DevicesWorld: Benchmarking Cross-Device Agents in Heterogene” ≈ “datawhalechina/hello-agents””
- LinkedLinked via arxiv author · 85%Huatao Li →
“DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments”
- LinkedLinked via arxiv author · 85%Xinwei Geng →
“DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments”
- LinkedLinked via arxiv author · 85%Yuheng Wang →
“DevicesWorld: Benchmarking Cross-Device Agents in Heterogeneous Environments”