Unverified50% confidenceFactExact time
In large model RL training, the logprobs computed by the training framework and those computed by the inference framework during the rollout phase often do not match, which gets amplified in the importance sampling weights of algorithms such as GRPO and PPO, leading to distorted training signals or even training collapse.
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10/4/2026
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