cs.LG（2025-12-15）

📊 共 9 篇论文

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (3) 支柱三：空间感知与语义 (Perception & Semantics) (3) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱八：物理动画 (Physics-based Animation) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
1	LLM-based Personalized Portfolio Recommender: Integrating Large Language Models and Reinforcement Learning for Intelligent Investment Strategy Optimization	提出基于LLM的个性化投资组合推荐器，结合大语言模型与强化学习优化投资策略	reinforcement learning large language model
2	Group-Theoretic Reinforcement Learning of Dynamical Decoupling Sequences	提出基于群论强化学习的动态解耦序列设计方法，无需噪声先验知识。	reinforcement learning PULSE
3	Distillation of Discrete Diffusion by Exact Conditional Distribution Matching	基于条件分布匹配的离散扩散模型蒸馏方法	distillation

🔬 支柱三：空间感知与语义 (Perception & Semantics) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
4	Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic	提出一种基于机器学习的架构，用于预测道路交通中的预测占据栅格。	occupancy grid
5	Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm	提出基于自编码器和随机森林的预测占用栅格，用于提升车辆安全	occupancy grid
6	Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning	提出基于机器学习的预测占据栅格概率估计方法，用于提升车辆安全应用性能	occupancy grid

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Investigating Data Pruning for Pretraining Biological Foundation Models at Scale	提出基于影响力的生物数据剪枝框架，显著降低生物基础模型预训练的计算成本。	foundation model
8	On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models	集成多种成员推理攻击，评估其在大型语言模型数据提取中的有效性	large language model

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	CrossTrafficLLM: A Human-Centric Framework for Interpretable Traffic Intelligence via Large Language Model	CrossTrafficLLM：提出一种以人为中心的框架，通过大语言模型实现可解释的交通智能。	spatiotemporal large language model

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