Results 81 to 90 of about 10,128 (293)

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

Histidine Supplementation Stabilizes Hearing and Vision and Improves Growth in HARS1‐Related Autosomal Recessive Disorder Associated With Usher‐Like Symptoms

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Autosomal recessive HARS1‐related disorder (originally described as Usher syndrome type 3B) caused by a homozygous Y454S variant in the histidyl‐tRNA synthetase gene (HARS1) is characterized by progressive sensorineural hearing and vision loss and respiratory deterioration with risk for sudden death following febrile illnesses.
Victoria Mok Siu, Rosan Kenana, Rana Chakrabarti, Sarah D. P. Wilhelm, Joseph Andrews, Susan J. Leat, Christina Parker, Michael Miller, Leslie A. Nangle, Wendy McCaul, Ashfia Chowdhury, Natalie Hutchings, Ryan A. Adams, Lauren Guy, Mandy Rhody, Verena Juncal, Marisa I. Mendes, Desiree E. C. Smith, Gajja S. Salomons, Angelica A. Moresco, Daphne L. McCulloch, D. Holmes Morton, Ilka U. Heinemann, C. Anthony Rupar   +23 more
wiley   +1 more source

“Hallucination, Mental Representation, and the Presentational Character” [PDF]

, 2013
In this paper, I argue that the indirect realists’ recourse to mental representations does not allow them to account for the possibility of hallucination, nor for the presentational character of visual experience.
Pagondiotis, Costas
core   +2 more sources

Reduced attention-driven auditory sensitivity in hallucination-prone individuals [PDF]

, 2015
Background Evidence suggests that auditory hallucinations may result from abnormally enhanced auditory sensitivity. Aims To investigate whether there is an auditory processing bias in healthy individuals who are prone to experiencing auditory ...
Woodruff, P.W.R., Rayner, L.H., Lee, K-H.   +2 more
core   +1 more source

Artificial Intelligence and Access to Justice at the ‘Shop Front’: The Potential and Limitations of Meeting Legal Need Through Technology

Australian Journal of Social Issues, EarlyView.
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings, Art Cotterell, Farzana Bruce   +2 more
wiley   +1 more source

Disrupted visual-to-semantic dynamics promote visual hallucinations in Parkinson’s disease

npj Parkinson's Disease
Minor hallucinations are frequent and clinically relevant in Parkinson’s disease (PD), often preceding cognitive decline and more complex psychotic symptoms.
Laura Pérez-Carasol, Saul Martinez-Horta, Andrea Horta-Barba, Helena Bejr-Kasem, Juan Marín-Lahoz, Jesús Perez-Perez, Ignacio Aracil-Bolaños, Javier Pagonabarraga, Jaime Kulisevsky   +8 more
doaj   +1 more source

Rethinking Visual Attention for Reducing Hallucination in Large Vision–Language Models

Applied Sciences
Large Vision–Language Models (LVLMs) have achieved strong performance in multimodal understanding and generation. However, they remain prone to hallucination, where generated content deviates from the visual input, reducing output reliability. We analyze
Xuewen Li, Yuan Liu
doaj   +1 more source

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

Anatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

Mitigating Hallucination in Visual Language Models with Visual Supervision

, 2023
Large vision-language models (LVLMs) suffer from hallucination a lot, generating responses that apparently contradict to the image content occasionally.
Li, Zhaowen, Wang, Jinqiao, Zhu, Yousong, Tang, Ming, Zhan, Yufei, Chen, Zhiyang, Zhao, Chaoyang   +6 more
core