Unverified50% confidenceFactExact time
SAO (Single-rollout Asynchronous Optimization) can maintain stability throughout a training process of up to one thousand steps.
1
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50%
Confidence
Long-term
Relevance
9/12/2026
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Related Claims
UnverifiedThe single-rollout characteristic of SAO means that a more streamlined sampling and trajectory generation mechanism is used at each policy update step, reducing reliance on multiple rollouts.72% similarUnverifiedThe 'Asynchronous' in SAO (Asynchronous Optimization) refers to the decoupled parallel execution between data collection (rollout) and policy updates70% similarUnverifiedFreeLB performs multi-step PGD attacks on the embedding space within each training step and accumulates gradients from all perturbation steps to perform a single parameter update.63% similarUnverifiedFully saving optimizer state is critical for checkpoint-based training resumption; saving only model weights causes the optimization trajectory to deviate and affects convergence63% similarUnverifiedContinuous Batching uses iteration-level scheduling, making scheduling decisions at each decoding step, and is one of the key technologies enabling high-concurrency processing capability.61% similar
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