Unverified50% confidenceFactExact time
The HybridRL training stage is responsible for teaching the model when to think silently and when to put pen to paper and output.
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50%
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Long-term
Relevance
10/19/2026
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Related Claims
UnverifiedHybridAgent adopts a two-stage post-training pipeline: HybridSFT (hybrid supervised fine-tuning) and HybridRL (hybrid reinforcement learning).65% similarUnverifiedHybridRL uses reinforcement learning to teach the model a mode-switching policy, and the reward signal typically comes from a combination of task completion quality and efficiency metrics, enabling the model to find a balance between accuracy and cost.63% similarUnverifiedSelf-RAG trains the model to emit "reflection tokens", letting the model decide whether to retrieve, judge paragraph relevance, and critique whether its own answer is supported.60% similarUnverified预训练阶段模型通过自监督学习方式（通常是下一个 token 预测任务）在海量文本语料（通常达数万亿 token 规模）上进行训练58% similar
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