33页论文揭示ReLU神经网络输出范围如何受层结构和参数约束，理论进展值得关注
arXiv:2508.03867v2 Announce Type: replace-cross Abstract: We introduce a class of algebraic varieties naturally associated with ReLU neural networks, …
深度探究特征学习如何动态重塑神经网络函数空间的理论前沿成果，59页长文，理论研究者必读。
arXiv:2605.17718v1 Announce Type: cross Abstract: Feature learning is widely regarded as the key mechanism distinguishing neural networks from fixed-k…
揭秘LLM微调中对齐为何脆弱：从参数动态到输出分布的统一视角
arXiv:2605.18309v1 Announce Type: new Abstract: Although Large Language Models (LLMs) achieve strong alignment through supervised fine-tuning and rein…