Archived
2026-09-10JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition
Zixiang Chen, Yuheng Lu, Zihao Cheng, Zeming Liu, Jizeng Bai, Ziye Huang, et al.
arXiv:2609.10451v1Today’s most interesting paper is JarvisGUI, a benchmark for cross-device GUI agents. The problem it tackles is simple to describe but hard for AI systems to handle: real workflows don’t stay on one screen or one operating system. People copy something from a phone, continue on Windows, then finish on Linux, all while preserving state and context. Most GUI benchmarks ignore that and test only single-device, fixed tasks, which can make agents look much more capable than they really are. JarvisGUI introduces dynamically composed workflows across Android, Windows, and Ubuntu, using a lightweight type system to connect steps and automatically evaluate whether an agent can carry information across devices. The key result is sobering: today’s best open-source GUI agents still struggle with state transfer, cross-platform reasoning, and long-horizon dependencies. That matters because it pinpoints a major gap between demo-worthy agents and systems ready for real-world use.
Also spotted that day
IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea SpecificationsLikelihood-free inference with nuisance parameters through normalizing flowsA positive resolution of the gap-entropy conjectureCharacterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width HierarchShow-Harness: Just a VLM Agent Can Play RobotsOptimal Low-Rank Quantum State Tomography with Bounded-Sample Joint MeasurementsQuantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear ClassifiersCross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp SegmentationIBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model IdentifierLearning with Covariance Matrices: Principal Component Analysis Meets Learning with GraphsNonmaximal sums of maximally monotone operators under Rockafellar's constraint qualificationDeep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power SystemsSemigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics GeneralizationBuilding Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning
Previous daily papers
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