引入社会对齐框架，为提升大语言模型对齐效果开辟新路径，论文值得AI从业者细读。
arXiv:2503.00069v2 Announce Type: replace-cross Abstract: Recent progress in large language models (LLMs) has focused on producing responses that meet…
用结构先验强化大模型处理表格数据预测，一项提升LLM表格推理能力的创新方法。
arXiv:2510.17385v5 Announce Type: replace-cross Abstract: Tabular prediction has long been dominated by gradient-boosted decision trees and specialize…
巧妙融合NeRF高质量渲染与3DGS高速渲染，利用互补优势提升新视角合成性能。
arXiv:2606.09034v1 Announce Type: new Abstract: Neural radiance field (NeRF) and 3D Gaussian splatting (3DGS) are two mainstream approaches for novel …
强化学习价值函数的新方法，通过平滑化提升训练稳定性与性能。
arXiv:2602.23280v2 Announce Type: replace Abstract: Offline goal-conditioned reinforcement learning (GCRL) learns goal-reaching behaviors from static …