1
Nonparametric LLM Evaluation from Preference Data
非参数方法评估LLM性能，突破参数假设限制，提供可靠的不确定性量化
arXiv:2601.21816v2 Announce Type: replace Abstract: Evaluating the performance of large language models (LLMs) from human preference data is crucial f…
2
SMART Fine-tuning Factor Augmented Neural Lasso
提出SMART框架，将预训练模型融入高维非参数变量选择，为微调提供理论基础。
arXiv:2604.12288v2 Announce Type: replace-cross Abstract: Fine-tuning is a widely used strategy for adapting pre-trained models to new tasks, yet its …
3
Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning
该论文提出Kernelized Advantage Estimation方法，从非参数统计视角优化LLM推理，为强化学习提供新思路。
arXiv:2604.28005v2 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have increasingly relied on reinforcement learning…
4
Density Estimation via Binless Multidimensional Integration
新方法BMTI通过无箱多维积分实现非参数密度估计，数据高效且鲁棒。
arXiv:2407.08094v3 Announce Type: replace-cross Abstract: We introduce the Binless Multidimensional Thermodynamic Integration (BMTI) method for nonpar…