用生成模型加速蒙特卡洛采样，解锁复杂概率分布推断的新思路，值得关注。
arXiv:2608.07648v1 Announce Type: cross Abstract: Sampling high-dimensional probability distributions is a central task in scientific computing, with …
利用机器学习和蒙特卡洛方法快速分析数字电路随机晶体管老化和工艺变化，显著加速仿真速度
arXiv:2607.05187v1 Announce Type: new Abstract: As CMOS technology scales into the deep nanometer regime, digital circuit reliability is increasingly …
AlphaGo胜李世石的MCTS，遇上Transformer，能否碰撞出更聪明的AI？
We all have been using AI for more than 2 years as a developer now. But we cannot forget the MCTS architecture that leads to the victory of Alpha GO a…
探讨蒙特卡洛树搜索在开源AI编码工具中提升代码生成准确性的可能性，问题导向的讨论帖
Do you consider that Monte Carlo Tree Search implementation in an opensource environment (like codex, claude code) for AI can improve the code generat…
用蒙特卡洛模拟量化学生对生成式AI的感知成功，为教育评估提供新视角。
arXiv:2507.01062v4 Announce Type: replace-cross Abstract: Generative artificial intelligence (GenAI) tools such as ChatGPT have attracted growing atte…
基于评分生成模型的高效加权采样新方法，解决蒙特卡洛采样效率难题，值得关注。
arXiv:2502.04646v2 Announce Type: replace Abstract: Weighted sampling -- sampling from a probability density function (PDF) proportional to the produc…
Frost Training利用嵌入空间奖励梯度优化LLM裁判策略，首次将GCG越狱信号用于提升蒙特卡洛训练效率。
arXiv:2605.27701v1 Announce Type: new Abstract: We present Frost Training, a method for improving Monte Carlo-based policy optimization for a large fa…
提出基于校准不确定度的LLM级联路由方案，在保持性能的同时降低推理成本。
arXiv:2605.18796v1 Announce Type: new Abstract: LLM cascades and model routing promise lower inference cost by sending easy queries to a small model a…
用LLM结合蒙特卡洛方法建模情感轨迹与潜在歧义，为理解人际动态提供了新颖的计算视角。
arXiv:2601.03645v2 Announce Type: replace Abstract: Emotional coordination is a core property of human interaction that shapes how relational meaning …
结合概率先验的变分自回归网络，一种解决蒙特卡洛临界慢化的新方法
arXiv:2605.16020v1 Announce Type: new Abstract: Monte Carlo methods are essential across diverse scientific fields, yet their efficiency is frequently…