DiPO disentangles samples via perplexity to enable fine-grained exploration-exploitation in RLVR, using bidirectional reward allocation to improve LLM performance on mathematical reasoning and function calling.
[Question] Let’s think step by step and output the final answer within\boxed{}
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DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
DiPO disentangles samples via perplexity to enable fine-grained exploration-exploitation in RLVR, using bidirectional reward allocation to improve LLM performance on mathematical reasoning and function calling.