cs.AI（2024-03-04）

📊 共 14 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (9) 支柱二：RL算法与架构 (RL & Architecture) (4) 支柱八：物理动画 (Physics-based Animation) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (9 篇)

#题目一句话要点标签🔗⭐
1 KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection 提出KnowPhish以解决现有钓鱼检测方法的品牌知识库不足问题 large language model multimodal
2 How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems 提出多模态LLM以优化容量车辆路径问题 large language model multimodal
3 Predicting Learning Performance with Large Language Models: A Study in Adult Literacy 利用大型语言模型预测成人读写能力提升效果 large language model
4 Towards Intent-Based Network Management: Large Language Models for Intent Extraction in 5G Core Networks 提出基于大语言模型的意图提取方法以实现5G核心网络自动化管理 large language model
5 Cognition is All You Need -- The Next Layer of AI Above Large Language Models 提出认知人工智能以解决复杂知识工作的局限性 large language model
6 Large language models surpass human experts in predicting neuroscience results 提出BrainBench基准以评估大语言模型在神经科学预测中的表现 large language model
7 Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism 提出基于大语言模型的进化优化器以解决多目标优化问题 large language model
8 Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study 探索使用大型语言模型生成建筑设计决策 large language model
9 CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text 提出CatCode框架以全面评估LLMs在代码与文本混合任务中的能力 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🔗⭐
10 Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution 提出基于深度强化学习的动态算法选择框架以优化差分进化算法 reinforcement learning deep reinforcement learning
11 Unveiling Hidden Links Between Unseen Security Entities 提出VulnScopper以解决软件漏洞分析效率低下问题 representation learning large language model foundation model
12 Koopman-Assisted Reinforcement Learning 提出基于Koopman算子的强化学习算法以解决高维非线性系统问题 reinforcement learning
13 Learning to Solve Job Shop Scheduling under Uncertainty 提出深度强化学习方法以解决不确定性下的作业车间调度问题 reinforcement learning deep reinforcement learning DRL

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

#题目一句话要点标签🔗⭐
14 Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification 提出双记忆体RC系统以解决时序数据分类问题 spatiotemporal

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