EP396: How numerical scores trigger AI reinforcement learning

Title: In-Context Learning as Implicit Policy GradientSource: http://arxiv.org/abs/2607.23153v1Summary:This paper offers a novel theoretical framework by re-interpreting In-Context Learning, a core GenAI capability, as an implicit policy gradient. Such a foundational understanding can unlock new architectural designs, training paradigms, and lead to significant reasoning breakthroughs for large language models.