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GVPO++: Group Variance Policy Optimization for LLM Post-Training and On-Policy Distillation
Post-training plays a pivotal role in enhancing the reasoning capabilities and task-specific expertise of large language models (LLMs). Despite recent advances in post-training methods, such as Group Relative Policy Optimization (GRPO), their practical deployment remains impeded by training instabil
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