large language models

Frequency-Aware Mixture-of-Experts Framework for Named Entity Recognition with Adaptive Feedback Mechanism

DIAM: A New Set of Deterministic Accessibility Metrics for User Interface Evaluation in Mobile Applications Generated by Large Language Models

Benchmarking AI Vibe Coding for Clinical Statistical Analysis: A Structured Evaluation in Pulmonary Hypertension Research.

Five current large language models could reproduce expert-validated statistical analyses from a published clinical workflow across three statistical tasks: descriptive table generation, Kaplan-Meier survival analysis, and Cox proportional hazards modelling.

Accuracy, readability, and bias of GPT-4o mini responses to oculoplastic patient questions

Purpose This cross-sectional evaluation of model outputs evaluates the accuracy, readability, transparency, objectivity, completeness, and bias of GPT-4o mini responses to common oculoplastic patient questions. Methods The study was reviewed and deemed exempt from institutional review board approval. Thirty-three quest...

Market Risk Prediction Model Based on Sentiment Factors and Deep Integration of Reinforcement Learning

Effects of Acupuncture on Sleep Quality, Psychological Status, and Neuroendocrine Biomarkers in Patients With Chronic Insomnia: A Systematic Review and Meta-Analysis

Chronic insomnia impairs daytime functioning and increases the risk of cardiovascular and psychiatric disorders. Although cognitive behavioral therapy and pharmacotherapy are conventional treatments, their use may be limited by implementation barriers and adverse effects. This study systematically evaluated the eff...

Artificial Intelligence in Assessment Design for Cantonese Education

This chapter explores how artificial intelligence reshapes assessment design in higher education, using Cantonese as a second language as a distinctive lens. Cantonese's tonal and sociolinguistic complexity provides a rigorous case for evaluating AI's role in oral proficiency testing. The discussion highlights the shif...

Large language models for literature screening in conceptually complex and interdisciplinary reviews

It is suggested that current LLMs can support literature screening, but their reliability depends strongly on the conceptual clarity of the review task and the structure of eligibility criteria, as well as practical implications for the transparent and responsible use of LLMs in informetric research and systematic revi...

Automated Evaluation Methods for Open-Ended Question in Hydropower Domain Based on Large Language Models

Large Language Models for Clinical Note Simplification: A Systematic Review and Experimental Evaluation of Medical Text Readability.

The findings suggest that conventional readability metrics should be extended with domain-specific measures to more accurately assess comprehensibility in medical texts and that large Language Models show strong potential to enhance the accessibility of clinical documentation for patients.

Exercise-based cardiac rehabilitation and health-related quality of life in coronary artery disease: a systematic review and meta-analysis by exercise modality and disease status

Exercise-based cardiac rehabilitation may improve health-related quality of life (HR-QoL) in patients with coronary artery disease (CAD), but whether responses differ by exercise modality and baseline disease status remains uncertain. We searched four English- and Chinese-language databases through September 2025 for r...

Introducing Synthetic Psychology: Validation Across Personality and Established Relationships.

This research introduces Synthetic Psychology (SP), a novel research approach in which large language models are configured to generate responses as synthetic individuals with predetermined psychological profiles. Across four studies with 20 replications, we configured Llama 3.3 as 32 distinct Big Five personality prof...