GRPO gives one reward per attempt; JOLT adds per-token teacher feedback instead
perplexity_ai · x · 2026-10-22
Perplexity contrasts approaches: RL methods like GRPO yield a single reward per attempt without indicating which steps helped. Self-distillation adds per-token feedback from a teacher — the same model plays both roles, with the teacher holding privileged information like a verified solution while the student doesn't. Evaluation uses the student only.
Related event: Perplexity's JOLT Beats GRPO on All Five Benchmarks(4 posts)→
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