Entropy-Gated Selective Policy Optimization:Token-Level Gradient Allocation for Hybrid Training of Large Language Models

Entropy-Gated Selective Policy Optimization:Token-Level Gradient Allocation for Hybrid Training of Large Language Models explores Develop an entropy-gated framework for optimizing hybrid training in language models to improve mathematical reasoning performance.. Commercial viability score: 5/10 in LLM Training.