AIMC Topic: Comprehension

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BPPV Information on Google Versus AI (ChatGPT).

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: To quantitatively compare online patient education materials found using traditional search engines (Google) versus conversational Artificial Intelligence (AI) models (ChatGPT) for benign paroxysmal positional vertigo (BPPV).

Large language models encode clinical knowledge.

Nature
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to a...

Deep learning classification of reading disability with regional brain volume features.

NeuroImage
Developmental reading disability is a prevalent and often enduring problem with varied mechanisms that contribute to its phenotypic heterogeneity. This mechanistic and phenotypic variation, as well as relatively modest sample sizes, may have limited ...

Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans.

Scientific reports
Modern large language models generate texts that are virtually indistinguishable from those written by humans and achieve near-human performance in comprehension and reasoning tests. Yet, their complexity makes it difficult to explain and predict the...

Explaining neural activity in human listeners with deep learning via natural language processing of narrative text.

Scientific reports
Deep learning (DL) approaches may also inform the analysis of human brain activity. Here, a state-of-art DL tool for natural language processing, the Generative Pre-trained Transformer version 2 (GPT-2), is shown to generate meaningful neural encodin...

Domain-specific and domain-general neural network engagement during human-robot interactions.

The European journal of neuroscience
To what extent do domain-general and domain-specific neural network engagement generalize across interactions with human and artificial agents? In this exploratory study, we analysed a publicly available functional MRI (fMRI) data set (n = 22) to pro...

Research on the Analysis of Correlation Factors of English Translation Ability Improvement Based on Deep Neural Network.

Computational intelligence and neuroscience
This paper adopts the algorithm of the deep neural network to conduct in-depth research and analysis on the factors associated with the improvement of English translation ability. This study focuses on text complexity, adding discourse complexity fea...

A hierarchy of linguistic predictions during natural language comprehension.

Proceedings of the National Academy of Sciences of the United States of America
Understanding spoken language requires transforming ambiguous acoustic streams into a hierarchy of representations, from phonemes to meaning. It has been suggested that the brain uses prediction to guide the interpretation of incoming input. However,...

Does attributing mental states to a robot influence accessibility of information represented during reading?

Acta psychologica
When we read fiction, we encounter characters that interact in the story. As such, we encode that information and comprehend the stories. Prior studies suggest that this comprehension process is facilitated by taking the perspective of characters dur...

Construction and Application of a Human-Computer Collaborative Multimodal Practice Teaching Model for Preschool Education.

Computational intelligence and neuroscience
This paper adopts the multimodal approach of human-computer collaboration to conduct an in-depth study and analysis of the practical teaching model of preschool education, and applies the designed model to the actual teaching process. The application...