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Latent reasoning enables vision-language-action (VLA) models to transform multimodal observations into task-relevant internal states before generating continuous robot actions. While existing methods learn to generate or refine such states for each policy query, they discard successful reasoning after execution and the...
Interactive chart code generation requires models to reproduce a reference chart's appearance and underlying data and correctly implement the state changes triggered by specified user interactions. Existing chart-to-code benchmarks focus on static outputs and lack task representations or evaluation protocols for intera...
Complex tasks inherently couple workflow structure, agent responsibility, collaboration, and memory access: task regions delimit responsibility and tool scope, cross-region dependencies give rise to handoffs, and ownership boundaries delimit private and selectively shared memory. Existing methods can jointly optimize a...
CoMemBench is introduced, an execution-grounded benchmark for collaborative memory sharing and isolation across multi-agent workflow topologies, and reveals a sharing-isolation trade-off: broader context improves information availability but can weaken isolation, while system rankings shift across topologies and artifa...
Qwen-UI-Agent is presented, a real-world centric foundation GUI agent spanning mobile, computer-use, web, and DeepSearch environments, that sets state-of-the-art performance on mobile-use benchmarks while delivering competitive performance on computer- and browser-use tasks against frontier models.
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