Saved in:
| Main Authors: | Hayat, Ahatsham, Khan, Bilal, Hasan, Mohammad Rashedul |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.21617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
by: Hayat, Ahatsham, et al.
Published: (2024)
by: Hayat, Ahatsham, et al.
Published: (2024)
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies
by: Hayat, Khizar, et al.
Published: (2025)
by: Hayat, Khizar, et al.
Published: (2025)
Data Acquisition for Improving Model Fairness using Reinforcement Learning
by: Hasan, Jahid, et al.
Published: (2024)
by: Hasan, Jahid, et al.
Published: (2024)
Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
by: Hasan, Syed Mhamudul
Published: (2024)
by: Hasan, Syed Mhamudul
Published: (2024)
Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season
by: Cen, Sarah H., et al.
Published: (2025)
by: Cen, Sarah H., et al.
Published: (2025)
Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data
by: Karakuş, Oktay, et al.
Published: (2026)
by: Karakuş, Oktay, et al.
Published: (2026)
Large Language Model Integrated Healthcare Cyber-Physical Systems Architecture
by: Kankanamge, Malithi Wanniarachchi, et al.
Published: (2024)
by: Kankanamge, Malithi Wanniarachchi, et al.
Published: (2024)
To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic
by: Khan, Tanveer, et al.
Published: (2025)
by: Khan, Tanveer, et al.
Published: (2025)
Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
by: Roy, Sudipta, et al.
Published: (2024)
by: Roy, Sudipta, et al.
Published: (2024)
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
by: Huang, Saffron, et al.
Published: (2025)
by: Huang, Saffron, et al.
Published: (2025)
Longitudinal Counterfactuals: Constraints and Opportunities
by: Asemota, Alexander, et al.
Published: (2024)
by: Asemota, Alexander, et al.
Published: (2024)
Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts
by: Zuin, Gianlucca, et al.
Published: (2025)
by: Zuin, Gianlucca, et al.
Published: (2025)
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach
by: Kakooei, Mohammad, et al.
Published: (2024)
by: Kakooei, Mohammad, et al.
Published: (2024)
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
by: Cousins, Cyrus, et al.
Published: (2024)
by: Cousins, Cyrus, et al.
Published: (2024)
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering
by: He, Zhangying, et al.
Published: (2024)
by: He, Zhangying, et al.
Published: (2024)
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)
by: Wei, Shou'ang, et al.
Published: (2025)
Foundation Models for Education: Promises and Prospects
by: Xu, Tianlong, et al.
Published: (2024)
by: Xu, Tianlong, et al.
Published: (2024)
Using Machine Learning in Analyzing Air Quality Discrepancies of Environmental Impact
by: Wang, Shuangbao Paul, et al.
Published: (2025)
by: Wang, Shuangbao Paul, et al.
Published: (2025)
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
by: Rony, Md Main Uddin, et al.
Published: (2024)
by: Rony, Md Main Uddin, et al.
Published: (2024)
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
by: Xiong, Zhang, et al.
Published: (2024)
by: Xiong, Zhang, et al.
Published: (2024)
A Recurrent Neural Network based Clustering Method for Binary Data Sets in Education
by: Ohira, Mizuki, et al.
Published: (2025)
by: Ohira, Mizuki, et al.
Published: (2025)
Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning
by: Wang, Chun, et al.
Published: (2024)
by: Wang, Chun, et al.
Published: (2024)
Leveraging Large Language Models for Enhancing Public Transit Services
by: Wang, Jiahao, et al.
Published: (2024)
by: Wang, Jiahao, et al.
Published: (2024)
Deep Learning for Educational Data Science
by: Pinto, Juan D., et al.
Published: (2024)
by: Pinto, Juan D., et al.
Published: (2024)
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
by: Dascalescu, Stefan, et al.
Published: (2025)
by: Dascalescu, Stefan, et al.
Published: (2025)
Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures
by: Kim, Samuel, et al.
Published: (2024)
by: Kim, Samuel, et al.
Published: (2024)
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets
by: Kim, Woojin, et al.
Published: (2025)
by: Kim, Woojin, et al.
Published: (2025)
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19
by: Fong, David, et al.
Published: (2024)
by: Fong, David, et al.
Published: (2024)
Four Things People Should Know About Migraines
by: Parsa, Mohammad S., et al.
Published: (2025)
by: Parsa, Mohammad S., et al.
Published: (2025)
Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models
by: Khan, Sharim, et al.
Published: (2025)
by: Khan, Sharim, et al.
Published: (2025)
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
by: Borchers, Conrad, et al.
Published: (2025)
by: Borchers, Conrad, et al.
Published: (2025)
Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
by: Shao, Pengyang, et al.
Published: (2024)
by: Shao, Pengyang, et al.
Published: (2024)
Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata
by: Tertulino, Rodrigo
Published: (2025)
by: Tertulino, Rodrigo
Published: (2025)
Translational Gaps in Graph Transformers for Longitudinal EHR Prediction: A Critical Appraisal of GT-BEHRT
by: Tadigotla, Krish
Published: (2026)
by: Tadigotla, Krish
Published: (2026)
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
by: Iskander, Shadi, et al.
Published: (2024)
by: Iskander, Shadi, et al.
Published: (2024)
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)
by: Xu, Ying, et al.
Published: (2022)
Deep Learning Based Crime Prediction Models: Experiments and Analysis
by: Utsha, Rittik Basak, et al.
Published: (2024)
by: Utsha, Rittik Basak, et al.
Published: (2024)
LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
by: Jiang, Lei, et al.
Published: (2026)
by: Jiang, Lei, et al.
Published: (2026)
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
by: Lin, Yuanguo, et al.
Published: (2023)
by: Lin, Yuanguo, et al.
Published: (2023)
Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
by: Nolte, Henrik, et al.
Published: (2025)
by: Nolte, Henrik, et al.
Published: (2025)
Similar Items
-
A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
by: Hayat, Ahatsham, et al.
Published: (2024) -
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies
by: Hayat, Khizar, et al.
Published: (2025) -
Data Acquisition for Improving Model Fairness using Reinforcement Learning
by: Hasan, Jahid, et al.
Published: (2024) -
Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
by: Hasan, Syed Mhamudul
Published: (2024) -
Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season
by: Cen, Sarah H., et al.
Published: (2025)