cs.AI（2023-11-23）
📊 共 8 篇论文 | 🔗 3 篇有代码
🎯 兴趣领域导航
🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training | 提出MC-CoT以提升小型多模态推理模型的性能 | multimodal | ✅ | |
| 2 | PortfolioMentor: Multimodal Generative AI Companion for Learning and Crafting Interactive Digital Art Portfolios | 提出PortfolioMentor以解决设计学生创作数字艺术作品集的技术挑战 | multimodal | ||
| 3 | Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach | 提出LLaMAC框架以解决多智能体系统中的决策问题 | large language model | ||
| 4 | PrivateLoRA For Efficient Privacy Preserving LLM | 提出PrivateLoRA以解决隐私保护与效率之间的矛盾 | large language model |
🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | Towards Explainable Strategy Templates using NLP Transformers | 提出可解释的策略模板以解决自动化代理谈判中的理解问题 | reinforcement learning deep reinforcement learning DRL | ||
| 6 | A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclists | 提出深度强化学习方案以减少骑行者交通信号灯等待时间 | reinforcement learning deep reinforcement learning DRL | ✅ | |
| 7 | Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation | 提出知识蒸馏方法以提升量子神经网络性能 | distillation | ||
| 8 | Education distillation:getting student models to learn in shcools | 提出教育蒸馏方法以提升学生模型学习效率 | distillation | ✅ |