cs.LG(2025-01-18)

📊 共 12 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (7) 支柱二:RL算法与架构 (RL & Architecture) (5)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data 提出FADAML以解决越南房地产虚假广告检测问题 multimodal
2 Jailbreaking Large Language Models in Infinitely Many Ways 提出“无限释义攻击”(IMP)方法,有效绕过大型语言模型的安全防护机制。 large language model
3 Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades 揭示大模型权重奥秘:高斯分布特性永存,助力模型适应与编辑 foundation model
4 Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback Step-KTO:通过逐步二元反馈优化LLM的数学推理能力 large language model chain-of-thought
5 Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments Learn-by-interact:一种数据为中心的框架,用于在真实环境中自适应LLM Agent large language model
6 CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention 提出CEReBrO,一种基于高效交替注意力机制的紧凑型脑电信号表征编码器。 foundation model
7 FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models FSMoE:一种灵活可扩展的稀疏混合专家模型训练系统 large language model

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

#题目一句话要点标签🔗
8 Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function 提出SAC-CLF框架,通过自适应控制Lyapunov函数增强强化学习的稳定性和安全性 reinforcement learning SAC reward shaping
9 Diffusion-Based Imitation Learning for Social Pose Generation 提出基于扩散模型的模仿学习方法,用于社交场景中人物姿态生成。 imitation learning behavior cloning
10 PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning 提出 PEARL,通过 Actor-Critic 强化学习增强矩阵预处理器的性能。 reinforcement learning
11 Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection 提出基于对比学习的自监督图Transformer,用于脑连接分析以提升自闭症检测。 contrastive learning
12 Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm 提出基于正则化演化的混合量子神经网络架构搜索PPO算法 reinforcement learning PPO

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