英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：


请选择你想看的字典辞典：
单词字典翻译
Hollaing查看　Hollaing　在百度字典中的解释百度英翻中〔查看〕
Hollaing查看　Hollaing　在Google字典中的解释Google英翻中〔查看〕
Hollaing查看　Hollaing　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • LLMs4OL: Large Language Models for - GitHub
    Recent advances in NLP and the emergence of Large Language Models, which have shown a capability to be good at crystallizing knowledge and patterns from vast text sources, we introduced the LLMs4OL: Large Language Models for Ontology Learning paradigm as an empirical study of LLMs for automated construction of ontologies from various domains
  • LLMs4OL: Large Language Models for Ontology Learning
    We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for Ontology Learning (OL) LLMs have shown significant advancements in natural language processing, demonstrating their ability to capture complex language patterns in different knowledge domains
  • LLMs4OL: Large Language Models for Ontology Learning - Springer
    We evaluate nine different LLM model families for three main OL tasks: term typing, taxonomy discovery, and extraction of non-taxonomic rela-tions Additionally, the evaluations encompass diverse genres of onto-logical knowledge, including lexicosemantic knowledge in WordNet, geo-graphical knowledge in GeoNames, and medical knowledge in UMLS
  • (PDF) LLMs4OL: Large Language Models for Ontology Learning - ResearchGate
    We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for Ontology Learning (OL) LLMs have shown significant advancements in natural language processing,
  • 2nd Large Language Models for Ontology Learning Challenge
    The 2nd LLMs4OL Challenge@ISWC 2025 invites researchers and practitioners to explore the capabilities of Large Language Models (LLMs) in automating Ontology Learning (OL) As the Semantic Web evolves, automating the extraction and structuring of knowledge becomes paramount
  • A Review on Large Language Models: Architectures, Applications . . .
    Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question answering, etc
  • A Comprehensive Overview of Large Language Models
    Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond A Imani, M Fayyaz, H Schütze, Ret-llm: Towards a general read-write memory for large language models, arXiv preprint arXiv:2305 14322 (2023) Google Scholar I Mollas, Z Chrysopoulou, S Karlos, G
  • LLMs4OL: Large Language Models for Ontology Learning
    We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for Ontology Learning (OL) LLMs have shown significant advancements in natural language processing, demonstrating their ability to capture complex language patterns in different knowledge domains
  • Title: How Good Are LLMs at Out-of-Distribution Detection? - arXiv. org
    Abstract: Out-of-distribution (OOD) detection plays a vital role in enhancing the reliability of machine learning (ML) models The emergence of large language models (LLMs) has catalyzed a paradigm shift within the ML community, showcasing their exceptional capabilities across diverse natural language processing tasks
  • Large Language Models for Anomaly and Out-of-Distribution Detection: A . . .
    Abstract: Detecting anomalies or out-of-distribution (OOD) samples is critical for maintaining the reliability and trustworthiness of machine learning systems Recently, Large Language Models (LLMs) have demonstrated their effectiveness not only in natural language processing but also in broader applications due to their advanced comprehension





中文字典-英文字典  2005-2009