Abstract Alzheimer's disease (AD) often remains undetected until memory loss and cognitive decline become clinically apparent, at which point substantial neurological damage has already occurred. Early and reliable diagnosis therefore, remains one of the most pressing challenges in dementia care. This study presents a...
Dr. K R Shylaja, Chaitra Shree K· Zenodo (CERN European Organi...· 0 citations
Abstract Alzheimer's disease (AD) often remains undetected until memory loss and cognitive decline become clinically apparent, at which point substantial neurological damage has already occurred. Early and reliable diagnosis therefore, remains one of the most pressing challenges in dementia care. This study presents a...
Dr. K R Shylaja, Chaitra Shree K· Journal of Zhejiang Universi...· 0 citations
Introduction Large language models (LLMs) are increasingly used for scoring and feedback in second-language (L2) assessment, yet the validity of the resulting interpretations remains contested. This review evaluated when LLM-mediated assessment is psychometrically and educationally defensible using an argument-based va...
L. Alghamdi, T. Alghizzi· Frontiers in Research Metric...· 0 citations
Results show that model rankings depend on the evaluation protocol: claude‐haiku‐4.5 achieves the highest adjusted overall score in the human evaluation, whereas gpt‐5‐mini achieves the highest aggregate scores in the automated LLM‐as‐judge evaluation and the lowest estimated operational cost.
Șener Ali, S. Oprea, A. Bâra· Systems research and behavio...· 0 citations
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Publicly available LLMs and MLLMs are evolving from report-parsing tools toward broader ophthalmic clinical assistants, but their use should follow a task-layered validation framework in which verification and human oversight increase with the clinical consequences of error.
This work benchmarks eight LLMs generating Gherkin from three requirement corpora, scoring validity, runner acceptance, judged coverage and quality, similarity to gold standard, stability, and cost, and releases the corpora, gold standard, and prototype.
Patrick Deininger, Wolfgang Slany· Applied Informatics· 0 citations
As computing systems evolve toward large-scale multicore processors, achieving efficient parallel processing in trusted execution environments (TEEs), such as ARM TrustZone, has become a significant challenge. The current single-threaded model of TrustZone limits multicore parallel computing capabilities, and existing...
Jun Li, Xin-Man Luo, Xi Wang et al.· IEEE Internet of Things Jour...· 0 citations
The large language model (LLM) based on the Transformer architecture and its derived various applications have greatly changed people’s lives. Considering some concerns such as privacy and network conditions, deploying LLM on smart devices has gradually become a research focus. In order to reduce the huge computation a...
Pu-Han Luo, Mu Yuan, Ning-Kang Zhang et al.· IEEE Transactions on Mobile...· 0 citations
Study of explicit character-level guidance for scene text detection and recognition indicates that character semantics for detection and local visual evidence for decoding are an effective way to improve robustness in difficult scene text.
Li-Jia Chen, Hu Lin, Dan Chen· Electronics· 0 citations
This work introduces a four-part feedback message structure inspired by the growth mindset principle, which encourages students to reflect, persist, and embrace challenges, and provides an initial foundation for explainable, rule-based feedback generation that can be extended through experimentation with learners.
M. Omar, Parham Moradi, Ogoti Sasha et al.· Proceedings of the 2026 Euro...· 0 citations
Off-the-shelf general-purpose general-purpose LLMs currently offered more reliable support for pharmacoepidemiologic study design than the smaller biomedical LLMs evaluated.
Xin-Yao Zhang, Nicole Sonne Heckmann, Manuela Del Castillo Suero et al.· Pharmaceutical Research· 0 citations
This study explores climate-related anxiety as expressed through social media discussions on Reddit. Using natural language processing techniques, we analyse large-scale textual data to identify recurring themes, emotional patterns, and how these evolve over time. Text data was preprocessed and analysed using BERTopic...
Karim Elsharkawy, Z. Rehman, Vikrant Kumar et al.· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
