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Aug 2026

SCALAR++: Efficient Controllable Generation via Scale-wise Visual Autoregressive Learning

This work proposes a Scale-wise Conditional Decoding mechanism, which projects semantic signals from a frozen vision encoder into scale-specific layers of the VAR backbone, and introduces a Unified Control Alignment strategy (SCALAR-Uni) to handle diverse control modalities within a single projection space.

Ryan Xu, Dongyang Jin, Shawn Chen et al. · 0 citations
Preprint Jul 2026

WAR: Workload-Aware Rollouts for Synchronous Agentic Reinforcement Learning

This work proposes WAR, a workload-aware rollout system that substantially accelerates synchronous agentic RL by jointly optimizing decoding and scheduling, and provides a practical path toward scalable long-context agent training.

Ryan Xu, Atlas Zhao, David Bao et al. · 0 citations