cs.AI（2024-04-02）

📊 共 15 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (12 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (3)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (12 篇)

#题目一句话要点标签🔗⭐
1 A Survey on Patent Analysis: From NLP to Multimodal AI 提出多模态AI方法以提升专利分析效率 large language model multimodal
2 On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning 提出平均情况计算分离以增强多模态与单模态学习的理论基础 multimodal
3 Digital Forgetting in Large Language Models: A Survey of Unlearning Methods 提出数字遗忘方法以解决大语言模型中的不良知识问题 large language model
4 A Survey on Large Language Model-Based Game Agents 综述大型语言模型驱动的游戏代理以推动通用人工智能研究 large language model ✅
5 Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments 提出Peer-aided Repairer以解决高级编程作业的自动修复问题 large language model
6 Voice EHR: Introducing Multimodal Audio Data for Health 提出Voice EHR以解决音频数据在医疗中的应用问题 multimodal
7 Automated User Story Generation with Test Case Specification Using Large Language Model 提出基于大语言模型的自动化用户故事生成工具以提升软件工程效率 large language model
8 Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack 提出Crescendo攻击以突破大型语言模型的安全防护 large language model multimodal
9 Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization 提出自组织多智能体框架以解决大规模代码生成问题 large language model
10 Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices 探讨多层次GPT生成编程提示对新手的支持与挑战 large language model
11 Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation 提出零-shot泛化方法以解决下一个兴趣点推荐问题 large language model
12 Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation 提出GFaiR框架以解决自然语言中的逻辑推理问题 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
13 Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid 提出混合代理架构以解决深度强化学习中的样本效率与概念漂移问题 reinforcement learning deep reinforcement learning imitation learning
14 SPMamba: State-space model is all you need in speech separation 提出SPMamba以解决语音分离中的长时间依赖问题 Mamba WHAM spatiotemporal
15 Advancing LLM Reasoning Generalists with Preference Trees 提出Eurus模型以提升复杂推理任务的性能 preference learning large language model

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