评估AIcon2abs方法的论文，直击机器学习核心机制，适合关注算法原理的读者。
arXiv:2401.07386v5 Announce Type: cross Abstract: This study expands on previous work that introduced the AIcon2abs method (AI from Concrete to Abstra…
ICML 2026论文提出Rank-Learner方法，用正交化实现治疗效果的精准排序，因果推断新突破。
arXiv:2602.03517v2 Announce Type: replace Abstract: Many decision-making problems require ranking individuals by their treatment effects rather than e…
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…
LoMETab将乘法集成从秩1扩展到秩r，为表格深度学习带来新突破
arXiv:2605.14365v1 Announce Type: cross Abstract: Recent tabular learning benchmarks increasingly show a tight performance cluster rather than a clear…