Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method

Perplexity and NVIDIA researchers introduced JOLT, a post-training method that trains a single model as both teacher and student. On the MATH benchmark, JOLT matched GRPO's accuracy while processing 6.5x fewer training tokens.

Perplexity and NVIDIA introduced JOLT, a post-training method that trains one model as both teacher and student. On MATH it matched GRPO’s accuracy with 6.5x fewer processed training tokens. The post Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method https://www.marktechpost.com/2026/10/21/perplexity-jolt-joint-on-policy-learning-teaching/ appeared first on MarkTechPost https://www.marktechpost.com .