GVPO++: Group Variance Policy Optimization for LLM post-training and on-policy distillation
Read the original at arxiv.org→arXiv:2609.21432v1 Announce Type: new Abstract: Post-training plays a pivotal role in enhancing the reasoning capabilities and task-specific expertise of large language models (LLMs). Despite recent advances in...
Original headline: "GVPO++: Group Variance Policy Optimization for LLM Post-Training and On-Policy Distillation"
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- Sep 21, 04:00 UTC arXiv cs.AI lead source GVPO++: Group Variance Policy Optimization for LLM Post-Training and On-Policy Distillation