AINeutralarXiv – CS AI · 2h ago6/10
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Cross-Entropy Games and Frost Training
Researchers introduce Frost Training, a novel method that applies gradient-based optimization from embedding space to improve LLM policy training on Cross-Entropy Games. The technique leverages signals previously used only in adversarial jailbreaking to accelerate model performance, achieving higher quality outputs faster in Monte Carlo-based optimization tasks.