# HybridCUA-8K

The work builds HybridCUA-8K, a data pipeline of 5,000 GUI-only, CLI-only, and interleaved GUI–CLI trajectories plus 3,000 verified RLVR tasks, and a two-stage framework of supervised fine-tuning followed by online reinforcement learning with CLI-aware rewards; the resulting HybridCUA-9B reaches 53.6% accuracy on OSWorld (14.8 points above its Qwen3.5-9B base, with average steps falling from 31.6 to 14.0) and 36.0% on WindowsAgentArena (a 4.0-point gain).

The work builds HybridCUA-8K, a data pipeline of 5,000 GUI-only, CLI-only, and interleaved GUI–CLI trajectories plus 3,000 verified RLVR tasks, and a two-stage framework of supervised fine-tuning followed by online reinforcement learning with CLI-aware rewards; the resulting HybridCUA-9B reaches 53.6% accuracy on OSWorld (14.8 points above its Qwen3.5-9B base, with average steps falling from 31.6 to 14.0) and 36.0% on WindowsAgentArena (a 4.0-point gain).