Researchers have introduced H-RePlan, a novel hierarchical replanning framework designed to enhance the robustness of multi-device agent systems. This framework addresses limitations in current systems by enabling agents to distinguish between device-local failures that can be repaired and those requiring broader replanning. To assess its effectiveness, a new fault-injected benchmark called HeraBench was developed, which simulates cross-device workflows on Linux and Android devices. Experiments demonstrate that H-RePlan significantly improves task completion rates and reduces token costs compared to existing baselines. AI
IMPACT Enhances the reliability of AI agents operating across multiple devices and applications.
RANK_REASON The cluster contains an academic paper detailing a new framework and benchmark for agent systems.
- android
- arXiv
- HeraBench
- H-RePlan
- Hugging Face
- Linux
- alphaXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- ScienceCast
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