Look-Before-Move separates observation specification from motion execution for narrative-grounded camera planning, improving subject perception, intent consistency, and trajectory quality over baselines.
QUEST trains open deep research agents via synthetic rubric-tree tasks and context management, achieving frontier-level performance across eight benchmarks with only 8K examples.