cs.AI(2024-01-31)
📊 共 7 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (4 🔗1)
支柱二:RL算法与架构 (RL & Architecture) (2)
支柱三:空间感知与语义 (Perception & Semantics) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Uncertainty-Aware Explainable Recommendation with Large Language Models | 提出基于大语言模型的推荐系统不确定性解释方法 | large language model | ||
| 2 | ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search | 提出ReSLLM以解决联邦搜索中的资源选择问题 | large language model | ||
| 3 | ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters | 提出ConSmax以解决LLM推理中的Softmax效率问题 | large language model | ✅ | |
| 4 | Generative AI to Generate Test Data Generators | 利用生成性AI生成测试数据生成器以解决数据生成不足问题 | large language model |
🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models | 提出SwarmBrain以解决StarCraft II中的实时策略问题 | reinforcement learning large language model | ||
| 6 | Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning | 提出深度强化学习方法解决多核量子架构电路划分问题 | reinforcement learning deep reinforcement learning |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Multimodal Action Quality Assessment | 提出渐进式自适应多模态融合网络以提升动作质量评估 | optical flow multimodal |