cs.AI（2024-03-19）

📊 共 13 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) (11 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (11 篇)

#	题目	一句话要点	标签	🔗	⭐
1	WoLF: Wide-scope Large Language Model Framework for CXR Understanding	提出WoLF框架以解决胸部X光理解中的多重问题	large language model instruction following
2	Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference	提出Sprout框架以解决生成性人工智能的碳排放问题	large language model
3	RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content	提出RigorLLM以解决大语言模型内容安全问题	large language model
4	Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices	探讨大型语言模型的安全性与责任实践	large language model
5	A Study of Vulnerability Repair in JavaScript Programs with Large Language Models	利用大语言模型修复JavaScript程序中的安全漏洞	large language model
6	Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models	提出SPUR方法以提升对话系统用户满意度的可解释性评估	large language model
7	The Use of Generative Search Engines for Knowledge Work and Complex Tasks	提出生成搜索引擎以提升知识工作效率	large language model
8	What AIs are not Learning (and Why)	提出体验式基础模型以提升服务机器人学习能力	foundation model
9	Contextual Moral Value Alignment Through Context-Based Aggregation	提出基于上下文聚合的道德价值对齐方法以解决AI价值对齐问题	large language model
10	Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training AI Models on Coq Code	提出全面数据集以提升Coq代码的AI模型训练	large language model	✅
11	Embodied LLM Agents Learn to Cooperate in Organized Teams	提出基于提示的组织结构以提升LLM代理的合作效率	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
12	Fast Value Tracking for Deep Reinforcement Learning	提出LKTD算法以解决深度强化学习中的不确定性问题	reinforcement learning deep reinforcement learning
13	End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations	提出神经符号强化学习框架以提升决策解释性	reinforcement learning policy learning foundation model

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