AIMC Topic: Language

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Exploring the potential of lightweight large language models for AI-based mental health counselling task: a novel comparative study.

Scientific reports Jul 2, 2025
In recent years, Transformer-based large language models (LLMs) have significantly improved upon their text generation capability. Mental health is a serious concern that can be addressed using LLM-based automated mental health counselors. These syst...
Large Language Models Language Mental Health Counseling Humans Artificial Intelligence
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Quality assessment of large language models' output in maternal health.

Scientific reports Jul 2, 2025
Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Countries. The safe and responsible deployment of Large Language Models (LLMs) may provide accurate, reliable, and culturally relevant healthcare inform...
Large Language Models Health Literacy Maternal Health Pakistan Male Middle Aged Surveys and Questionnaires United States Brazil Female Adult Cross-Sectional Studies Language Pregnancy Humans
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Cognition-enhanced geospatial decision framework integrating fuzzy FCA, surprisingly popular method, and a large language model.

Scientific reports Jul 2, 2025
This study introduces a cognition-enhanced framework for geospatial decision-making by integrating Fuzzy Formal Concept Analysis (FCA), the Surprisingly Popular (SP) method, and a Large Language Model (GPT-4o). Our approach captures cognitive influen...
Large Language Models Fuzzy Logic Decision Making Machine Learning Language Geographic Information Systems Humans Cognition Models, Theoretical
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Comparison of physician and large language model chatbot responses to online ear, nose, and throat inquiries.

Scientific reports Jul 1, 2025
Large language models (LLMs) can potentially enhance the accessibility and quality of medical information. This study evaluates the reliability and quality of responses generated by ChatGPT-4, an LLM-driven chatbot, compared to those written by physi...
Social Media Humans Language Large Language Models Female Male Physicians Otolaryngology Generative Artificial Intelligence
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Large language models provide discordant information compared to ophthalmology guidelines.

Scientific reports Jul 1, 2025
To evaluate the agreement of LLMs with the Preferred Practice Patterns (PPP) guidelines developed by the American Academy of Ophthalmology (AAO). Open questions based on the AAO PPP were submitted to five LLMs: GPT-o1 and GPT-4o by OpenAI, Claude 3.5...
Ophthalmology Humans Practice Guidelines as Topic Large Language Models Language
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A publicly available benchmark for assessing large language models' ability to predict how humans balance self-interest and the interest of others.

Scientific reports Jul 1, 2025
Large language models (LLMs) hold enormous potential to assist humans in decision-making processes, from everyday to high-stake scenarios. However, as many human decisions carry social implications, for LLMs to be reliable assistants a necessary prer...
Humans Female Adult Language Benchmarking Male Large Language Models Decision Making
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Sentiment classification for telugu using transformed based approaches on a multi-domain dataset.

Scientific reports Jul 1, 2025
Sentiment analysis is an essential component of Natural Language Processing (NLP) in resource-abundant languages such as English. Nevertheless, poor-resource languages such as Telugu have experienced limited efforts owing to multiple considerations, ...
Machine Learning Databases, Factual Natural Language Processing Language Humans
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LLM-generated messages can persuade humans on policy issues.

Nature communications Jul 1, 2025
The emergence of large language models (LLMs) has made it possible for generative artificial intelligence (AI) to tackle many higher-order cognitive tasks, with critical implications for industry, government, and labor markets. Here, we investigate w...
Humans Female Young Adult Adult Artificial Intelligence Language Attitude Politics Male Persuasive Communication
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Cross-language dissemination of Chinese classical literature using multimodal deep learning and artificial intelligence.

Scientific reports Jul 1, 2025
Against the backdrop of rapid advancements in artificial intelligence (AI), multimodal deep learning (DL) technologies offer new possibilities for cross-language translation. This work proposes a multimodal DL-based translation model, the Transformer...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Language China Translating
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Leveraging large language models for patient-ventilator asynchrony detection.

BMJ health & care informatics Jun 27, 2025
OBJECTIVES: The objective of this study is to evaluate whether large language models (LLMs) can achieve performance comparable to expert-developed deep neural networks in detecting flow starvation (FS) asynchronies during mechanical ventilation.
Patient-Ventilator Asynchrony Language Respiration, Artificial Humans Large Language Models Neural Networks, Computer
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