NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models 事件

NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models arXiv:2601.10457v3 Announce Type: replace Abstract: Although the Gradient Boosted Decision Trees (GBDTs) dominate industrial tabular applications, upgrading legacy models in high-concurrency production environments still faces prohibitive retraining costs and systemic risks. To address this problem, we present NSR-Boost, a neuro-symbolic residual boosting framework designed specifically for industrial scenarios