COMPARING HUMAN AND AI-BASED ESSAY EVALUATION IN THE CZECH HIGHER EDUCATION: CHALLENGES AND LIMITATIONS by Tomáš Kincl, Daria Gunina, Michal Novák, Jan Pospíšil

“…These essays were evaluated by a human evaluator and subsequently by virtual assistants utilizing large language models, specifically ChatGPT (paid version 4.0) and Claude (paid version Sonet 3.5). …”

Modelling the impact of environmental and social determinants on mental health using generative agents by Joseph Kambeitz, Andreas Meyer-Lindenberg

“…This review explores the potential of generative agents, powered by large language models, to simulate human-like behaviour in virtual environments for mental health research. …”
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Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability by Donnella S. Comeau, Danielle S. Bitterman, Leo Anthony Celi

“…Abstract The integration of large language models (LLMs) into electronic health records offers potential benefits but raises significant ethical, legal, and operational concerns, including unconsented data use, lack of governance, and AI-related malpractice accountability. …”
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Language models for data extraction and risk of bias assessment in complementary medicine by Honghao Lai, Jiayi Liu, Chunyang Bai, Hui Liu, Bei Pan, Xufei Luo, Liangying Hou, Weilong Zhao, Danni Xia, Jinhui Tian, Yaolong Chen, Lu Zhang, Janne Estill, Jie Liu, Xing Liao, Nannan Shi, Xin Sun, Hongcai Shang, Zhaoxiang Bian, Kehu Yang, Luqi Huang, Long Ge, On behalf of ADVANCED Working Group

“…Abstract Large language models (LLMs) have the potential to enhance evidence synthesis efficiency and accuracy. …”
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Improving authenticity and provenance in digital biomarkers: the case for digital watermarking by Arjun Mahajan, Dylan Powell

“…A recent study highlights how Large Language Models (LLMs) generating human-like content amplify these risks, and propose watermarking as a scalable solution to ensure data integrity. …”
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Mapping Mental Representations With Free Associations: A Tutorial Using the R Package associatoR by Samuel Aeschbach, Rui Mata, Dirk U. Wulff

“…We discuss study design choices and different approaches to uncovering the structure of mental representations using natural language processing, including the use of embeddings from large language models. We posit that free association analysis presents a powerful approach to revealing how people and machines represent key social and technological issues.…”
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Evaluation of Chat Generative Pre-trained Transformer and Microsoft Copilot Performance on the American Society of Surgery of the Hand Self-Assessment Examinations by Taylor R. Rakauskas, BS, Antonio Da Costa, BS, Camberly Moriconi, BS, Gurnoor Gill, BA, Jeffrey W. Kwong, MD MS, Nicolas Lee, MD

“…The increasing popularity of large language models has raised important questions regarding their accuracy and agreement with human users. …”
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Utilizing AI Chatbots in Higher Education Teaching and Learning by Laurie O. Campbell, Thomas D Cox

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

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

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

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

“…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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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

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

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

“…Abstract The introduction of large language models (LLMs) may change future pedagogical practices. …”
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Visual Question Answering in Robotic Surgery: A Comprehensive Review by Di Ding, Tianliang Yao, Rong Luo, Xusen Sun

“…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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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

“…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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ChatGPT for healthcare sector: SWOT analysis by Mobasshira Zaman

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

“…Large language models (LLMs) have brought significant advancements to artificial intelligence, particularly in understanding and generating human language. …”
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FArSS: Fast and Efficient Semantic Question Similarity in Arabic by Mohamed Alkaoud

“…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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