Modal reports off-policy GRPO corrections stabilize training on SWE-bench Pro V2
Overview
Modal says it stabilized GRPO training on mixed samplers by adding masked importance sampling, score centering, and top-p sampling with mask replay to standard GRPO. Modal reports that training on the mixed samplers became stable as evaluated on SWE-bench Pro V2.
The only source is a post on Modal's X account. The post gives no figures for the stability measurement and does not describe a comparison against standard GRPO results.
Written by AI from the articles below · updated Oct 13, 2:41 PM ET
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Modal@modalOfficialModal describes off-policy GRPO corrections that stabilize SWE-bench Pro V2 trainingAIModal says it stabilized GRPO training on mixed samplers by adding masked importance sampling, score centering, and top-p sampling with mask replay. It reports that the approach yields stable training as evaluated on SWE-bench Pro V2.

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