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Perplexity and NVIDIA researchers introduce JOLT, a joint teacher-student reinforcement learning method for language models. Tested on Qwen3 variants, JOLT matches GRPO accuracy on MATH with 6.5x fewer processed training tokens, offering a direct compute solution for teams running RL post-training.
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