cs.AI(2024-07-26)

📊 共 15 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) (12 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱一:机器人控制 (Robot Control) (1)

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

#题目一句话要点标签🔗
1 Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models 提出人机协作框架,利用大语言模型加速增材制造数据驱动研究中的科学信息提取。 large language model foundation model
2 Effective Large Language Model Debugging with Best-first Tree Search 提出基于最佳优先树搜索的BESTER算法,提升LLM代码调试能力。 large language model
3 Blockchain for Large Language Model Security and Safety: A Holistic Survey 提出BC4LLMs框架,利用区块链增强大语言模型的安全性和可靠性 large language model
4 Large Language Models as Co-Pilots for Causal Inference in Medical Studies 利用大型语言模型作为医疗研究中因果推理的辅助工具 large language model
5 Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models 提出基于LLM的法律领域数值估计优化方法,提升法律AI的效率和准确性。 large language model
6 Using GPT-4 to guide causal machine learning 利用GPT-4引导因果机器学习,提升因果关系发现的准确性和可信度 large language model
7 Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining 提出基于贪婪输出近似的LLM单次结构化剪枝方法,无需重训练 large language model
8 TAGIFY: LLM-powered Tagging Interface for Improved Data Findability on OGD portals 提出Tagify:利用LLM改进OGD门户数据发现的标签生成界面 large language model
9 Neurosymbolic AI for Enhancing Instructability in Generative AI 利用神经符号AI增强生成式AI的可指导性,提升复杂指令执行能力 large language model
10 Collaborative Evolving Strategy for Automatic Data-Centric Development 提出Co-STEER,首个解决自动数据中心开发(AD^2)任务的LLM智能体。 large language model
11 Patched MOA: optimizing inference for diverse software development tasks Patched MOA:优化LLM推理,提升软件开发任务性能 large language model
12 Towards Automated Solution Recipe Generation for Industrial Asset Management with LLM 利用LLM和条件管理原则,实现工业资产管理自动化解决方案配方生成 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🔗
13 ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model ChipExpert:首个面向集成电路设计的开源指令型大语言模型 direct preference optimization large language model
14 Online Test Synthesis From Requirements: Enhancing Reinforcement Learning with Game Theory 提出基于博弈论的MCTS在线测试用例生成方法,提升强化学习测试效率 reinforcement learning

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
15 Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs Wonderful Team:利用视觉大语言模型实现零样本物理任务规划 manipulation large language model

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