AIMC Topic: Language

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Performance of large language models in oral and maxillofacial surgery examinations.

International journal of oral and maxillofacial surgery
This study aimed to determine the accuracy of large language models (LLMs) in answering oral and maxillofacial surgery (OMS) multiple choice questions. A total of 259 questions from the university's question bank were answered by the LLMs (GPT-3.5, G...

Evaluation of a Large Language Model's Ability to Assist in an Orthopedic Hand Clinic.

Hand (New York, N.Y.)
BACKGROUND: Advancements in artificial intelligence technology, such as OpenAI's large language model, ChatGPT, could transform medicine through applications in a clinical setting. This study aimed to assess the utility of ChatGPT as a clinical assis...

Comparing human text classification performance and explainability with large language and machine learning models using eye-tracking.

Scientific reports
To understand the alignment between reasonings of humans and artificial intelligence (AI) models, this empirical study compared the human text classification performance and explainability with a traditional machine learning (ML) model and large lang...

ChatGPT and Clinical Questions on the Practical Guideline of Blepharoptosis: Reply.

Aesthetic plastic surgery
In a recent Letter to the Editor authored by Daungsupawong et al. in Aesthetic Plastic Surgery, titled "ChatGPT and Clinical Questions on the Practical Guideline of Blepharoptosis: Correspondence," the authors emphasized important points regarding th...

Nature is resource, playground, and gift: What artificial intelligence reveals about human-Nature relationships.

PloS one
This paper demonstrates how artificial-intelligence language analysis can inform understanding of human-nature relationships and other social phenomena. We demonstrate three techniques by investigating relationships within the popular word2vec word e...

Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain.

Systematic reviews
BACKGROUND: Systematically screening published literature to determine the relevant publications to synthesize in a review is a time-consuming and difficult task. Large language models (LLMs) are an emerging technology with promising capabilities for...

Quantifying social capital creation in post-disaster recovery aid in Indonesia: methodological innovation by an AI-based language model.

Disasters
Smooth interaction with a disaster-affected community can create and strengthen its social capital, leading to greater effectiveness in the provision of successful post-disaster recovery aid. To understand the relationship between the types of intera...

How good are large language models at product risk assessment?

Risk analysis : an official publication of the Society for Risk Analysis
Product safety professionals must assess the risks to consumers associated with the foreseeable uses and misuses of products. In this study, we investigate the utility of generative artificial intelligence (AI), specifically large language models (LL...

Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model.

Sensors (Basel, Switzerland)
Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia. This shortage results in a large pro...

Threatening language detection from Urdu data with deep sequential model.

PloS one
The Urdu language is spoken and written on different social media platforms like Twitter, WhatsApp, Facebook, and YouTube. However, due to the lack of Urdu Language Processing (ULP) libraries, it is quite challenging to identify threats from textual ...