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Continual pre-training mitigates forgetting in language and vision.

Neural networks : the official journal of the International Neural Network Society
Pre-trained models are commonly used in Continual Learning to initialize the model before training on the stream of non-stationary data. However, pre-training is rarely applied during Continual Learning. We investigate the characteristics of the Cont...

Personalized Language Model Selection Through Gamified Elicitation of Contrastive Concept Preferences.

IEEE transactions on visualization and computer graphics
Language models are widely used for different Natural Language Processing tasks while suffering from a lack of personalization. Personalization can be achieved by, e.g., fine-tuning the model on training data that is created by the user (e.g., social...

Assessing the risk of takeover catastrophe from large language models.

Risk analysis : an official publication of the Society for Risk Analysis
This article presents a risk analysis of large language models (LLMs), a type of "generative" artificial intelligence (AI) system that produces text, commonly in response to textual inputs from human users. The article is specifically focused on the ...

Speaking your language: The psychological impact of dialect integration in artificial intelligence systems.

Current opinion in psychology
As the popularity and adoption of Artificial Intelligence (AI) systems continue to rise, this article presents a promising proposition: the use of AI dialects to enhance AI perception. By delving into the potential of personalized AI dialects to augm...

Shared functional specialization in transformer-based language models and the human brain.

Nature communications
When processing language, the brain is thought to deploy specialized computations to construct meaning from complex linguistic structures. Recently, artificial neural networks based on the Transformer architecture have revolutionized the field of nat...

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...

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...