AIBullisharXiv – CS AI · 7h ago7/10
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DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
Researchers propose DARTS, a novel approach to accelerate large language model reinforcement learning by reshaping the rollout distribution toward conciseness and certainty, reducing computational inefficiencies caused by long-tail response lengths. The method achieves up to 1.77x speedup through distribution-aware trajectory sampling without sacrificing model performance.