cs.AI（2024-03-14）

📊 共 12 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 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (4) 支柱一：机器人控制 (Robot Control) (1)

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

#	题目	一句话要点	标签	🔗	⭐
1	AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting	提出AdaShield以防御多模态大语言模型的结构性攻击	large language model multimodal	✅
2	Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention	探讨大型语言模型在在线诱导预防中的有效性	large language model
3	Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models	提出利用大型语言模型加速安全分析以提升安全性	large language model
4	"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models	利用大型语言模型生成类比以帮助计算机科学学生理解递归	large language model
5	USimAgent: Large Language Models for Simulating Search Users	提出USimAgent以解决用户搜索行为模拟问题	large language model	✅
6	LLM-based agents for automating the enhancement of user story quality: An early report	提出基于LLM的智能代理以提升用户故事质量	large language model
7	What Was Your Prompt? A Remote Keylogging Attack on AI Assistants	提出一种新型侧信道攻击以破解AI助手的响应内容	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	LM2D: Lyrics- and Music-Driven Dance Synthesis	提出LM2D以解决音乐与歌词驱动的舞蹈合成问题	distillation motion generation multimodal
9	Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare	提出博弈模型与基础模型以应对网络欺骗操作的挑战	reinforcement learning foundation model
10	Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning	提出基于图注意力机制的深度强化学习框架以解决几何问题	reinforcement learning deep reinforcement learning
11	Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem	提出结合约束编程与深度学习的方法以解决灵活作业车间调度问题	reinforcement learning deep reinforcement learning DRL

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
12	Algorithmic syntactic causal identification	提出基于对称单模范畴的因果识别算法以解决传统方法局限性	manipulation

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