cs.LG(2025-08-30)

📊 共 10 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) (3)

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

#题目一句话要点标签🔗
1 RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models 提出ROFT-MOL以解决分子图基础模型的鲁棒微调问题 foundation model
2 Universal Properties of Activation Sparsity in Modern Large Language Models 提出通用框架以研究现代大语言模型的激活稀疏性 large language model
3 Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks 提出隐私保护的卸载框架以解决6G车联网中的数据安全问题 large language model
4 TimeCopilot 提出TimeCopilot框架以实现高效的时间序列预测 large language model foundation model
5 SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction 提出SQL-of-Thought框架以解决文本到SQL转换问题 chain-of-thought
6 Memory Limitations of Prompt Tuning in Transformers 提出对Transformer记忆限制的理论分析以解决提示调优问题 large language model
7 Metis: Training LLMs with FP4 Quantization 提出Metis框架以解决大语言模型低位训练中的量化偏差问题 large language model

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

#题目一句话要点标签🔗
8 LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning 提出LLM驱动的策略扩散以解决离线强化学习的泛化问题 reinforcement learning policy learning offline RL
9 An Efficient GNNs-to-KANs Distillation via Self-Attention Dynamic Sampling with Potential for Consumer Electronics Edge Deployment 提出SA-DSD框架以提升GNN知识蒸馏至KAN的效率 teacher-student distillation
10 Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching 提出Wasserstein梯度流匹配以重新理解扩散模型 flow matching

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