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Gaussian guidance reveals that optimal trajectory retention depth varies across tasks, leading to a substantial performance boost in reinforcement learning.
Relay-OPD not only corrects reasoning missteps in real-time but also slashes training time by over half, setting a new standard for on-policy distillation efficiency.
LLMs can learn to recognize when they lack sufficient information for reasoning and proactively ask for clarification, leading to more reliable and concise answers.