Showing 321 - 340 results of 411 for search '"large language model"', query time: 0.07s Refine Results
  1. 321

    Utilizing AI Chatbots in Higher Education Teaching and Learning by Laurie O. Campbell, Thomas D Cox

    Published 2024-12-01
    “…The Diffusion of Innovation Theory seeks to explain how technologies like generative AI large language models are being adopted. Instructors are faced with addressing AI in instruction as the use of generative AI chatbots is accelerating. …”
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    Article
  2. 322

    Comparative analysis of generative LLMs for labeling entities in clinical notes by Rodrigo del Moral-González, Helena Gómez-Adorno, Orlando Ramos-Flores

    Published 2025-02-01
    “…Abstract This paper evaluates and compares different fine-tuned variations of generative large language models (LLM) in the zero-shot named entity recognition (NER) task for the clinical domain. …”
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    Article
  3. 323

    Fostering effective hybrid human-LLM reasoning and decision making by Andrea Passerini, Aryo Gema, Pasquale Minervini, Burcu Sayin, Katya Tentori

    Published 2025-01-01
    “…The impressive performance of modern Large Language Models (LLMs) across a wide range of tasks, along with their often non-trivial errors, has garnered unprecedented attention regarding the potential of AI and its impact on everyday life. …”
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    Article
  4. 324

    LLM-driven multimodal target volume contouring in radiation oncology by Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Yeona Cho, Ik Jae Lee, Jin Sung Kim, Jong Chul Ye

    Published 2024-10-01
    “…Inspired by the recent advancement of large language models (LLMs) that can facilitate the integration of the textural information and images, here we present an LLM-driven multimodal artificial intelligence (AI), namely LLMSeg, that utilizes the clinical information and is applicable to the challenging task of 3-dimensional context-aware target volume delineation for radiation oncology. …”
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    Article
  5. 325

    Understanding public views on electric vehicle charging: A thematic analysis by Colin Ashby, David Weir, Peter Fussey

    Published 2025-01-01
    “…We extract EV charging related posts from Twitter using a pipeline based on BERTopic and Large Language Models, with manual review, to create a thematic structure driven by the data, then analyse these themes using message sentiment and volume. …”
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    Article
  6. 326

    Exploring the potential of LLM to enhance teaching plans through teaching simulation by Bihao Hu, Jiayi Zhu, Yiying Pei, Xiaoqing Gu

    Published 2025-02-01
    “…Abstract The introduction of large language models (LLMs) may change future pedagogical practices. …”
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    Article
  7. 327

    Linguistically informed ChatGPT prompts to enhance Japanese-Chinese machine translation: A case study on attributive clauses. by Wenshi Gu

    Published 2025-01-01
    “…This study not only offers a new perspective on the integration of linguistics theory and machine translation technologies, but also provides valuable insights for optimizing large language models prompt and improving language education tools.…”
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    Article
  8. 328

    Overview of Sign Language Translation Based on Natural Language Processing by Wang Hanmo

    Published 2025-01-01
    “…Additionally, it suggests applying NLP methods like transfer learning and large language models to address specific challenges. Finally, the paper advocates for stronger interdisciplinary collaboration between CV and NLP to develop models and algorithms that are better suited to the unique aspects of sign languages.…”
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    Article
  9. 329

    Exploration and practice of AI-empowered smart campus by SU Xiaoming, ZHANG Siyu, JIANG Kaida

    Published 2024-11-01
    “…The technical architecture featured a three-layer design, such as the foundational model layer leverages open-source large language models, the development platform layer enhances system scalability, and the application service layer integrates AI tools and optimizes processes. …”
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    Article
  10. 330

    Understanding Counterspeech for Online Harm Mitigation by Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser

    Published 2024-12-01
    “…Advances in the development of large language models mean that the process of producing counterspeech could be made more efficient by automating its generation, which would enable large-scale online campaigns. …”
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    Article
  11. 331

    Visual Question Answering in Robotic Surgery: A Comprehensive Review by Di Ding, Tianliang Yao, Rong Luo, Xusen Sun

    Published 2025-01-01
    “…This comprehensive review synthesizes key advancements in Surgical VQA, highlighting the integration of large language models (LLMs), multimodal fusion techniques, and visual grounding methods. …”
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    Article
  12. 332

    Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools by Ming Liu, Yiling Ren, Lucy Michael Nyagoga, Francis Stonier, Zhongming Wu, Liang Yu

    Published 2023-09-01
    “…Abstract ChatGPT is an artificial intelligence chatbot that utilizes advanced natural language processing technologies, including large language models, to produce human‐like responses to user queries spanning a wide range of topics from programming to mathematics. …”
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    Article
  13. 333

    Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction by Chao Li, Frank Petzold

    Published 2025-01-01
    “…This knowledge graph will interface with advanced large language models (LLMs), enabling effective question answering and knowledge retrieval.…”
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    Article
  14. 334

    Artificial intelligence in rheumatology research: what is it good for? by Diego Benavent, José Miguel Sequí-Sabater

    Published 2025-01-01
    “…In parallel, generative AI, driven by large language models, is becoming a powerful tool for optimising the research workflow by supporting with content generation, literature review automation and clinical decision support. …”
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    Article
  15. 335

    A Green AI Methodology Based on Persistent Homology for Compressing BERT by Luis Balderas, Miguel Lastra, José M. Benítez

    Published 2025-01-01
    “…Large Language Models (LLMs) like BERT have gained significant prominence due to their remarkable performance in various natural language processing tasks. …”
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    Article
  16. 336

    (Un)stable diffusions by Fenwick McKelvey, Joanna Redden, Jonathan Roberge, Luke Stark

    Published 2024-12-01
    “… Generative AI is a uniquely public technology. The large language models behind ChatGPT and other tools that generate text and images is a major develop in publicity as much as technology. …”
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    Article
  17. 337

    Artificial intelligence and natural language processing for easy-to-read texts by Horacio Saggion

    Published 2024-12-01
    “…Current NLP models such as large language models (LLMs) are still not well understood, and their use in the development of text simplification needs careful assessment. …”
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    Article
  18. 338

    ChatGPT for healthcare sector: SWOT analysis by Mobasshira Zaman

    Published 2023-09-01
    “…The SWOT analysis also serves as a framework for future research and development of ChatGPT and other large language models in healthcare. This research paper is a significant contribution to the ongoing discussion on the use of ChatGPT in healthcare and its potential impact on patient care and public health.…”
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    Article
  19. 339

    An Efficient Multiparty Threshold ECDSA Protocol against Malicious Adversaries for Blockchain-Based LLMs by Jing Wang, Xue Yuan, Yingjie Xu, Yudi Zhang

    Published 2024-01-01
    “…Large language models (LLMs) have brought significant advancements to artificial intelligence, particularly in understanding and generating human language. …”
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  20. 340

    FArSS: Fast and Efficient Semantic Question Similarity in Arabic by Mohamed Alkaoud

    Published 2025-01-01
    “…Additionally, our model outperforms both GPT-4o and GPT-4 in semantic question similarity in Arabic, underscoring the potential of specialized, efficient models to surpass large language models in specific tasks. This work demonstrates that our method not only maintains high performance but also ensures fast training and inference times. …”
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