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Big Data and Cognitive Computing, Volume 7, Issue 3

September 2023 - 37 articles

Cover Story: Large Language Models (LLMs) act as psycho-social mirrors that reflect the prevalent views and tendencies in society. Hence, it is important to understand the biases hidden in LLMs. In this study, we focus on the global phenomenon of anxiety about math and STEM subjects. We use network science and cognitive psychology to understand such biases in LLMs (i.e., GPT-3, GPT-3.5, and GPT-4), analyzing data obtained by probing the three LLMs in a language generation task. Our findings indicate that LLMs have negative perceptions of math and STEM fields, suggesting that advances in the architecture of LLMs may lead to increasingly less-biased models that could even aid in reducing stereotypes in society rather than perpetuating them. View this paper
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Articles (37)

  • Article
  • Open Access
8 Citations
2,915 Views
21 Pages

Intelligent Method for Classifying the Level of Anthropogenic Disasters

  • Khrystyna Lipianina-Honcharenko,
  • Carsten Wolff,
  • Anatoliy Sachenko,
  • Ivan Kit and
  • Diana Zahorodnia

Anthropogenic disasters pose a challenge to management in the modern world. At the same time, it is important to have accurate and timely information to assess the level of danger and take appropriate measures to eliminate disasters. Therefore, the p...

  • Article
  • Open Access
4 Citations
3,424 Views
18 Pages

Big Data Analytics with the Multivariate Adaptive Regression Splines to Analyze Key Factors Influencing Accident Severity in Industrial Zones of Thailand: A Study on Truck and Non-Truck Collisions

  • Manlika Seefong,
  • Panuwat Wisutwattanasak,
  • Chamroeun Se,
  • Kestsirin Theerathitichaipa,
  • Sajjakaj Jomnonkwao,
  • Thanapong Champahom,
  • Vatanavongs Ratanavaraha and
  • Rattanaporn Kasemsri

Machine learning currently holds a vital position in predicting collision severity. Identifying factors associated with heightened risks of injury and fatalities aids in enhancing road safety measures and management. Presently, Thailand faces conside...

  • Article
  • Open Access
1 Citations
3,279 Views
22 Pages

This paper addresses the time-intensive task of assigning accurate account labels to invoice entries within corporate bookkeeping. Despite the advent of electronic invoicing, many software solutions still rely on rule-based approaches that fail to ad...

  • Article
  • Open Access
13 Citations
6,792 Views
14 Pages

Efficient model deployment is a key focus in deep learning. This has led to the exploration of methods such as knowledge distillation and network pruning to compress models and increase their performance. In this study, we investigate the potential s...

  • Article
  • Open Access
5 Citations
5,639 Views
17 Pages

Implementing a Synchronization Method between a Relational and a Non-Relational Database

  • Cornelia A. Győrödi,
  • Tudor Turtureanu,
  • Robert Ş. Győrödi and
  • Doina R. Zmaranda

The accelerating pace of application development requires more frequent database switching, as technological advancements demand agile adaptation. The increase in the volume of data and at the same time, the number of transactions has determined that...

  • Article
  • Open Access
6 Citations
14,711 Views
27 Pages

In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbat...

  • Article
  • Open Access
5 Citations
2,781 Views
14 Pages

The Kuwaiti dialect is a particular dialect of Arabic spoken in Kuwait; it differs significantly from standard Arabic and the dialects of neighboring countries in the same region. Few research papers with a focus on the Kuwaiti dialect have been publ...

  • Article
  • Open Access
2 Citations
2,554 Views
16 Pages

Impulsive Aggression Break, Based on Early Recognition Using Spatiotemporal Features

  • Manar M. F. Donia,
  • Wessam H. El-Behaidy and
  • Aliaa A. A. Youssif

The study of human behaviors aims to gain a deeper perception of stimuli that control decision making. To describe, explain, predict, and control behavior, human behavior can be classified as either non-aggressive or anomalous behavior. Anomalous beh...

  • Article
  • Open Access
1 Citations
2,976 Views
12 Pages

Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem

  • Mario Michelessa,
  • Christophe Hurter,
  • Brian Y. Lim,
  • Jamie Ng Suat Ling,
  • Bogdan Cautis and
  • Carol Anne Hargreaves

Social networks have become important objects of study in recent years. Social media marketing has, for example, greatly benefited from the vast literature developed in the past two decades. The study of social networks has taken advantage of recent...

  • Article
  • Open Access
37 Citations
8,396 Views
15 Pages

Crafting a Museum Guide Using ChatGPT4

  • Georgios Trichopoulos,
  • Markos Konstantakis,
  • George Caridakis,
  • Akrivi Katifori and
  • Myrto Koukouli

This paper introduces a groundbreaking approach to enriching the museum experience using ChatGPT4, a state-of-the-art language model by OpenAI. By developing a museum guide powered by ChatGPT4, we aimed to address the challenges visitors face in navi...

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Big Data Cogn. Comput. - ISSN 2504-2289