Current evidence suggests that AI may serve as a valuable adjunctive tool in otolaryngology practice; however, further prospective multicenter studies, standardized validation frameworks, and ethical oversight remain necessary before widespread adoption can be achieved.
E. Litsou, Ioannis Tzotzis, Theodoros Malisovas et al.· European archives of oto-rhi...· 0 citations
The explosive development of generative artificial intelligence is profoundly reshaping the technological pathways and application forms of smart education. Employing a narrative review methodology, this paper systematically examines the technological evolution and application trajectory of AI-empowered smart education...
This seminar presents a game-based social simulation of emergency response to water contamination, in which large language model (LLM) agents represent stakeholders with diverse roles, information, incentives, and constraints. Through unfolding crisis scenario, the simulation explores how communication, coordination, a...
Jingyan Huang· University of New Hampshire...· 0 citations
Precision medicine is often framed as a move from “average-patient” care toward prevention, diagnosis, and treatment tailored to individual variability. This aspiration has been articulated in major policy and scientific calls for a new evidence-generating health system and a new taxonomy of disease [ 1 , 2 ]. Yet, the...
Antonis A. Armoundas· Journal of Medical Systems· 0 citations
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Code and artefacts for the Scientific Reports submission. Contains the four analysis notebooks; the reconstructed goal-level SDG interaction matrix and the two text-derived target-level matrices; raw LLM probability arrays for four backbones; the evaluation splits with DOI lists, manifests and labels at goal and target...
Adrian Brașoveanu, Albert Weichselbraun, Lyndon Nixon et al.· Zenodo (CERN European Organi...· 0 citations
Large Language Models (LLMs) have been widely applied in various areas due to their comprehension and reasoning capabilities. Although recent research has explored to utilize LLMs in networking areas, the applications in real network environments are still in the early stage due to models’ limitations and inaccurate ou...
Yongqing Zhu, Yoke Moon Wong, Huaqun Guo et al.· Singapore Institute of Techn...· 0 citations
Large language models (LLMs) achieve high scores on medical benchmarks, yet their clinical reasoning capabilities in complex, real-world scenarios remain poorly characterized. This thesis evaluates LLM performance in treatment selection for relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL), a scenario requi...
Francesco <1989> Malaspina· AMS Dottorato Institutional...· 0 citations
Knowledge Extraction (KE) transforms unstructured text into machine-readable representations, enabling automatic Knowledge Graph (KG) generation. Modern KE systems use Large Language Models (LLMs) as core components, leveraging knowledge stored in their parameters through pre-training. LLMs struggle with long-tail know...
This work manually analyzed a forum discussion, synthesized an exploratory analysis framework from relevant literature, built a design probe, and interviewed 21 researchers to uncover perceived opportunities and barriers with LLM representations of collective discussions.
Tony W. Li, Zhi-Qing Wang, T. Tran et al.· Proceedings of the 14th ACM...· 0 citations
From curiosity about AI models and with a view to know which AI model is the best all-rounder among the world-leading robust AI models, at first the top 9 of the most popular AI models have been taken to compare. The comparison is based on 4 major requirements: Matching the tool to the workflow (For deep research and a...
SOWMMOBIR DEY· Zenodo (CERN European Organi...· 0 citations
KurdishMCQ is, to the authors' knowledge, the first large-scale, publicly available collection of multiple-choice questions in the Kurdish language (Sorani dialect), supporting the evaluation of large language models in low-resource settings. Version 2 contains 17,221 questions digitized from Kurdish school textbooks,...
Khalid Hassan Ahmed, Tarik A. Rashid· Mendeley Data· 0 citations
Abstract This paper characterizes recurrence and distinguishable-history capacity in finite declared identity regimes. For the class-indexed observable, the central quantity is the logarithm of the spectral radius of the reachable recurrent subgraph. A recurrence converse bounds sound retention codes by this capacity,...
