AIBullisharXiv – CS AI · 7h ago6/10
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Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward
Researchers introduce DecomposeR, a framework that trains language models to conduct deep research by explicitly representing plans as directed acyclic graphs rather than flat trajectories. The approach separates planning and execution into two distinct reinforcement learning stages, improving long-form answer generation by 5.1-8.0 points over comparable baselines on benchmark datasets.