:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Najjar, Alameen
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2406.04029
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Endowing Pre-trained Graph Models with Provable Fairness
by: Zhang, Zhongjian, et al.
Published: (2024)

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
by: Sun, Shuzhou, et al.
Published: (2025)

Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
by: Zhang, Hengyuan, et al.
Published: (2024)

Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning
by: Tang, Yinzhou, et al.
Published: (2025)

Taming the Long Tail in Human Mobility Prediction
by: Xu, Xiaohang, et al.
Published: (2024)

TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
by: Panagiotou, Emmanouil, et al.
Published: (2024)

Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations
by: Bhagat, Kirti, et al.
Published: (2024)

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
by: Joshi, Abhinav, et al.
Published: (2024)

AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations
by: Bowen, Dillon, et al.
Published: (2025)

A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
by: Vassoyan, Jean, et al.
Published: (2024)

What happens when generative AI models train recursively on each others' outputs?
by: Vu, Hung Anh, et al.
Published: (2025)

Transformers in Healthcare: A Survey
by: Nerella, Subhash, et al.
Published: (2023)

On Defining Smart Cities using Transformer Neural Networks
by: Khurshudov, Andrei
Published: (2024)

Zero Shot Health Trajectory Prediction Using Transformer
by: Renc, Pawel, et al.
Published: (2024)

FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)

A Unifying Human-Centered AI Fairness Framework
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)

Persona-Based Simulation of Human Opinion at Population Scale
by: Li, Mao, et al.
Published: (2026)

TestAgent: An Adaptive and Intelligent Expert for Human Assessment
by: Yu, Junhao, et al.
Published: (2025)

Opportunities and Challenges of Frontier Data Governance With Synthetic Data
by: Thakur, Madhavendra, et al.
Published: (2025)

Efficient and Personalized Mobile Health Event Prediction via Small Language Models
by: Wang, Xin, et al.
Published: (2024)

Inducing Human-like Biases in Moral Reasoning Language Models
by: Karpov, Artem, et al.
Published: (2024)

Transforming CCTV cameras into NO$_2$ sensors at city scale for adaptive policymaking
by: Ibrahim, Mohamed R., et al.
Published: (2024)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024)

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures
by: Gringras, David
Published: (2026)

Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
by: Peng, Xiyue, et al.
Published: (2024)

Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
by: Tamboli, Dipesh, et al.
Published: (2024)

Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval
by: Maurya, Anuraj
Published: (2025)

Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art
by: Hernandez, Alejandro, et al.
Published: (2024)

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction
by: Luo, Yan, et al.
Published: (2024)

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
by: Raj, Aman, et al.
Published: (2025)

Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
by: Zakazov, Ivan, et al.
Published: (2024)

MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation
by: Wang, Ziheng, et al.
Published: (2024)

Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
by: Keenan, Bernard, et al.
Published: (2023)

Deep Learning for Educational Data Science
by: Pinto, Juan D., et al.
Published: (2024)

Synthetic Data and the Shifting Ground of Truth
by: Offenhuber, Dietmar
Published: (2025)

Language model developers should report train-test overlap
by: Zhang, Andy K, et al.
Published: (2024)

Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
by: Liu, Junyuan, et al.
Published: (2025)

HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
by: Ceravolo, Paolo, et al.
Published: (2025)

Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
by: Islam, Tunazzina, et al.
Published: (2024)

Balancing Fairness and Accuracy in Data-Restricted Binary Classification
by: Lazri, Zachary McBride, et al.
Published: (2024)