OC-GRPO Breaks LLM Reasoning Bottlenecks, Boosting Math Benchmarks by 13.8%
ceciletamura · x · 2026-08-09
A new arXiv paper proposes Off-Context GRPO (OC-GRPO) to solve the 'learning cliff' problem in RLVR, where LLMs receive zero learning signal on overly difficult problems. The method introduces privileged guidance during training and uses an importance-corrected objective to steer updates back toward the unguided target. Experiments show a 3.9% absolute improvement (13.8% relative gain) over vanilla GRPO on standard math reasoning benchmarks with negligible extra cost.
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