| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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