cs.LG(2024-08-18)

📊 共 10 篇论文

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支柱二:RL算法与架构 (RL & Architecture) (5) 支柱九:具身大模型 (Embodied Foundation Models) (4) 支柱八:物理动画 (Physics-based Animation) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗
1 Advancements in Molecular Property Prediction: A Survey of Single and Multimodal Approaches 分子性质预测综述:探索单模态与多模态AI方法 representation learning multimodal
2 Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning 提出基于强化学习的无测量局部量子纠错方法,提升量子存储寿命 reinforcement learning
3 Directed Exploration in Reinforcement Learning from Linear Temporal Logic 提出基于线性时序逻辑引导的强化学习探索方法,提升高维连续控制任务性能。 reinforcement learning
4 Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning 提出祖先强化学习(ARL),融合零阶优化与遗传算法,提升强化学习的探索能力和鲁棒性。 reinforcement learning
5 GRLinQ: An Intelligent Spectrum Sharing Mechanism for Device-to-Device Communications with Graph Reinforcement Learning 提出GRLinQ以解决D2D通信中的频谱共享问题 reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
6 Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models Reefknot:提出多模态大语言模型中关系幻觉的全面评测基准与缓解策略 large language model multimodal
7 A Markov Random Field Multi-Modal Variational AutoEncoder 提出一种基于马尔可夫随机场的多模态变分自编码器,用于建模复杂模态间关系。 multimodal
8 Efficient Budget Allocation for Large-Scale LLM-Enabled Virtual Screening 提出EFG-$m$算法,解决大规模LLM驱动的虚拟筛选中高效预算分配问题 large language model
9 NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models 提出嵌套低秩适配(NoRA),高效微调大型模型并提升性能。 large language model

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

#题目一句话要点标签🔗
10 Understanding Transformer Architecture through Continuous Dynamics: A Partial Differential Equation Perspective Transformer架构连续动力学分析:基于偏微分方程的理解框架 spatiotemporal

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