cs.AI(2024-04-01)
📊 共 8 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) (5 🔗1)
支柱二:RL算法与架构 (RL & Architecture) (2)
支柱八:物理动画 (Physics-based Animation) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations | 提出IsoBench基准以评估多模态基础模型在同构表示上的表现 | foundation model multimodal | ||
| 2 | Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT | 提出多模态情感特征与ChatGPT结合的课堂鼓励与温暖自动评估方法 | large language model multimodal | ||
| 3 | Query Performance Prediction using Relevance Judgments Generated by Large Language Models | 提出QPP-GenRE框架以解决查询性能预测中的相关性判断问题 | large language model | ||
| 4 | Enhancing Reasoning Capacity of SLM using Cognitive Enhancement | 通过认知增强提升小型语言模型的推理能力 | large language model | ||
| 5 | Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code | 提出代码幻觉分类体系以解决LLM生成代码的可靠性问题 | 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 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers | 提出博弈论深度强化学习以降低数据中心碳排放和能耗成本 | reinforcement learning deep reinforcement learning DRL | ||
| 7 | GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems | 提出GOV-REK以解决多智能体强化学习中的奖励工程问题 | reinforcement learning |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Nonlinear dynamical social and political prediction algorithm for city planning and public participation using the Impulse Pattern Formulation | 提出非线性动态社会政治预测算法以优化城市规划与公众参与 | PULSE |