cs.AI（2024-02-29）

📊 共 16 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) (10) 支柱二：RL算法与架构 (RL & Architecture) (5 🔗1) 支柱七：动作重定向 (Motion Retargeting) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (10 篇)

#题目一句话要点标签🔗⭐
1 LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction 提出LLM-Ensemble以解决电商产品属性值提取问题 large language model
2 Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency 探讨大型语言模型在提升数字取证调查效率中的潜力 large language model
3 Exploring Data-Efficient Adaptation of Large Language Models for Code Generation 提出DEED以解决少量数据下大语言模型代码生成适应问题 large language model
4 ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph 提出ToolNet以解决大型语言模型工具使用限制问题 large language model
5 Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy 提出LLM集成预测方法以提升预测准确性 large language model
6 Compositional API Recommendation for Library-Oriented Code Generation 提出CAPIR以解决库导向代码生成中的API推荐问题 large language model
7 Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines 探讨基于聊天的搜索引擎的知识获取机制 large language model
8 StarCoder 2 and The Stack v2: The Next Generation 提出StarCoder2以推动代码生成模型的责任发展 large language model
9 Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool 提出ClarifAI以解决数字新闻中的宣传检测问题 large language model
10 FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use 提出FhGenie以解决企业与科研中的数据保密问题 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗⭐
11 RL-GPT: Integrating Reinforcement Learning and Code-as-policy 提出RL-GPT以解决复杂逻辑与精确控制问题 reinforcement learning large language model Code as Policies
12 Large Language Models are Learnable Planners for Long-Term Recommendation 提出Bi-level Learnable LLM Planner以解决长期推荐中的数据稀缺问题 reinforcement learning large language model ✅
13 Offline Fictitious Self-Play for Competitive Games 提出OFF-FSP以解决离线多智能体强化学习中的竞争游戏问题 reinforcement learning offline RL offline reinforcement learning
14 Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning 利用多智能体强化学习理解迭代组合拍卖设计 reinforcement learning
15 Negative Sampling in Knowledge Graph Representation Learning: A Review 综述负采样方法以提升知识图谱表示学习的效果 representation learning

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
16 Physics Sensor Based Deep Learning Fall Detection System 提出基于物理传感器的深度学习跌倒检测系统以解决传统方法不足问题 motion prediction

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