AGPO applies asymmetric negative-dominant reinforcement and variance-scaled group advantages in RLVR to preserve base model exploration while boosting accuracy and pass@k on math benchmarks and industrial ad relevance data.
This means that each subset Ai must contain pairs of numbers that sum up to all integers starting from 15
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AGPO: Asymmetric Group Policy Optimization for Verifiable Reasoning and Search Ads Relevance at JD
AGPO applies asymmetric negative-dominant reinforcement and variance-scaled group advantages in RLVR to preserve base model exploration while boosting accuracy and pass@k on math benchmarks and industrial ad relevance data.