cs.AI（2024-02-24）

📊 共 10 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) (8 🔗1) 支柱六：视频提取与匹配 (Video Extraction) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (8 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Stepwise Self-Consistent Mathematical Reasoning with Large Language Models	提出Stepwise Self-Consistent Chain-of-Thought以解决复杂数学推理问题	large language model chain-of-thought	✅
2	Empowering Large Language Model Agents through Action Learning	提出LearnAct框架以解决LLM代理的行动学习问题	large language model
3	Cryptanalysis and improvement of multimodal data encryption by machine-learning-based system	提出基于机器学习的多模态数据加密破解与改进方法	multimodal
4	From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models	评估网络安全框架以支持大语言模型的安全整合	large language model
5	ByteComposer: a Human-like Melody Composition Method based on Language Model Agent	提出ByteComposer以解决人类风格旋律创作系统不足问题	large language model multimodal
6	Procedural Adherence and Interpretability Through Neuro-Symbolic Generative Agents	提出神经符号生成代理以解决交互代理的可解释性问题	large language model
7	GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding	提出GenCode框架以解决代码数据增强不足问题	large language model
8	LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper	提出SELFDEFEND以有效防御大型语言模型的越狱攻击	large language model

🔬 支柱六：视频提取与匹配 (Video Extraction) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation	提出MemeCraft以解决现有表情包生成工具的不足	HuMoR large language model multimodal

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
10	How Do Humans Write Code? Large Models Do It the Same Way Too	提出Human-Think Language以解决大型语言模型推理错误问题	reinforcement learning large language model chain-of-thought

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