Showing 1,161 - 1,180 results of 10,994 for search '"Be language"', query time: 0.08s Refine Results
  1. 1161
  2. 1162
  3. 1163
  4. 1164
  5. 1165
  6. 1166

    Large language models for pretreatment education in pediatric radiation oncology: A comparative evaluation study by Dominik Wawrzuta, Aleksandra Napieralska, Katarzyna Ludwikowska, Laimonas Jaruševičius, Anastasija Trofimoviča-Krasnorucka, Gints Rausis, Agata Szulc, Katarzyna Pędziwiatr, Kateřina Poláchová, Justyna Klejdysz, Marzanna Chojnacka

    Published 2025-03-01
    “…Consequently, they search for information online, often encountering unreliable sources. Large language models (LLMs) have the potential to serve as an educational pretreatment tool, providing reliable answers to their questions. …”
    Get full text
    Article
  7. 1167

    Artificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations by Sarah A. Mess, MD, Alison J. Mackey, PhD, David E. Yarowsky, PhD

    Published 2025-01-01
    “…They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. …”
    Get full text
    Article
  8. 1168
  9. 1169
  10. 1170

    Neuroplasticity and functional reorganization of language in patients with arteriovenous malformations: insights from neuroimaging and clinical interventions by Jialong Yuan, Hongchuan Niu, Chengxu Lei, Ruichen Xu, Yutong Liu, Kexin Yuan, Linru Zou, Shihao He, Shihao He, Yuanli Zhao, Yuanli Zhao

    Published 2025-01-01
    “…Patients with arteriovenous malformations (AVMs) located in the functional area of speech often exhibit language dysfunction, and neuroplasticity allows the brain of some patients to regain speech through functional reorganization. …”
    Get full text
    Article
  11. 1171

    Efficient Fine-Tuning of Large Language Models via a Low-Rank Gradient Estimator by Luoming Zhang, Zhenyu Lou, Yangwei Ying, Cheng Yang, Hong Zhou

    Published 2024-12-01
    “…In this paper, we present a Low-Rank Gradient Estimator (LoGE) to accelerate the finetune-time computation of transformers, especially large language models (LLMs). Unlike Parameter-Efficient Fine-Tuning (PEFT) methods, which primarily aim to minimize the number of fine-tuning parameters, LoGE also significantly reduces the computational load of activation gradient calculations by decomposing pre-trained weights and utilizing low-rank matrices during the backward pass. …”
    Get full text
    Article
  12. 1172
  13. 1173
  14. 1174

    Spelling correction with large language models to reduce measurement error in open-ended survey responses by Maxwell B. Allamong, Jongwoo Jeong, Paul M. Kellstedt

    Published 2025-01-01
    “…This paper provides evidence that large language models (LLMs), specifically OpenAI’s GPT-4o, offer a flexible, dependable, and low-cost solution to correcting misspellings in open-ended responses. …”
    Get full text
    Article
  15. 1175

    Influence of translanguaging in writing across languages: A case of multilingual primary students in Sri Lanka by Mohmed Cassim Badurusaman Nihmathulla

    Published 2024-12-01
    Subjects: “…ESL, Multilingual Students, Primary School Education, Second Language Writing, Tamil, Translanguaging, Sinhala, Sri Lanka…”
    Get full text
    Article
  16. 1176
  17. 1177
  18. 1178
  19. 1179
  20. 1180

    Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review by Dipak Gautam, Philipp Kellmeyer

    Published 2025-01-01
    “… BackgroundThe rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. …”
    Get full text
    Article