cs.AI（2024-04-16）

📊 共 13 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (7 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (4 🔗1) 支柱一：机器人控制 (Robot Control) (1) 支柱八：物理动画 (Physics-based Animation) (1)

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

#	题目	一句话要点	标签	🔗	⭐
1	Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models	提出DB-GPT以提升数据交互体验与可访问性	large language model	✅
2	Towards Complex Ontology Alignment using Large Language Models	利用大型语言模型实现复杂本体对齐	large language model
3	Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers	提出目标驱动的AI编程伙伴以提升软件工程效率	foundation model
4	Private Attribute Inference from Images with Vision-Language Models	提出利用视觉语言模型推断私人属性以解决隐私风险问题	large language model
5	LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs	提出LLMem以解决GPU内存限制下的预训练LLM微调问题	large language model
6	Exploring Augmentation and Cognitive Strategies for AI based Synthetic Personae	提出使用LLMs作为数据增强系统以解决合成角色的可靠性问题	large language model
7	MEEL: Multi-Modal Event Evolution Learning	提出MEEL以解决多模态事件推理能力不足问题	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	🔗	⭐
8	LLMs4OM: Matching Ontologies with Large Language Models	提出LLMs4OM框架以提升本体匹配任务的效果	predictive model large language model
9	Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop	提出可解释强化学习研究社区以解决透明性问题	reinforcement learning
10	Sustainability of Data Center Digital Twins with Reinforcement Learning	提出DCRL-Green以优化数据中心的可持续性问题	reinforcement learning	✅
11	Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning	提出简单形分解方法以解决强化学习中的投资组合约束问题	reinforcement learning

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
12	Cognitive-Motor Integration in Assessing Bimanual Motor Skills	提出深度神经网络以解决双手运动技能评估问题	bi-manual

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
13	Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing	通过刺激时序编码与解码信息，提升体外神经网络计算能力	PULSE

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