交叉验证与稀疏回归结合，如何显著降低计算成本？这篇论文给出了高效算法。
arXiv:2306.14851v5 Announce Type: replace-cross Abstract: Given a high-dimensional covariate matrix and a response vector, ridge-regularized sparse li…
从电路级机制揭示LLM拒绝行为，提出跨层编码器精确识别和操纵稀疏拒绝特征，为安全分析提供新思路。
arXiv:2604.01604v2 Announce Type: replace Abstract: While modern LLMs are aligned to refuse harmful requests, it is essential to understand the underl…
论文提出基准测试效率优化方法，发现核心就是特征选择加多元回归，简洁有力直击痛点。
arXiv:2605.25773v1 Announce Type: cross Abstract: Efficient benchmarking techniques aim to lower the computational cost of evaluating LLMs by predicti…
利用大模型蕴含的稀疏性先验，为高维数据特征选择提供鲁棒策略，理论贡献显著。
arXiv:2605.23102v1 Announce Type: cross Abstract: Large language models (LLMs) offer a scalable mechanism to elicit domain-informed prior information …