:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Monks, Thomas, Harper, Alison, Heather, Amy
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Applications
Online Access:	https://arxiv.org/abs/2503.21646
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Advancement of Personalized Learning Potentially Accelerated by Generative AI
by: Wei, Yuang, et al.
Published: (2024)

Complementary repository: Final discrete-event simulation models and streamlit applications from Large Language Models
by: Monks, Thomas, et al.
Published: (2025)

Complementary repository: Final discrete-event simulation models and streamlit applications from Large Language Models
by: Monks, Thomas, et al.
Published: (2025)

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
by: Zheng, Simin, et al.
Published: (2025)

Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion
by: von der Heyde, Leah, et al.
Published: (2024)

Subnational Geocoding of Global Disasters Using Large Language Models
by: Ronco, Michele, et al.
Published: (2025)

HiBayES: A Hierarchical Bayesian Modeling Framework for AI Evaluation Statistics
by: Luettgau, Lennart, et al.
Published: (2025)

AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models
by: Felice, Florian
Published: (2024)

Evaluating the Use of Large Language Models as Synthetic Social Agents in Social Science Research
by: Madden, Emma Rose
Published: (2025)

How Should We Represent History in Interpretable Models of Clinical Policies?
by: Matsson, Anton, et al.
Published: (2024)

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models
by: Devunuri, Saipraneeth, et al.
Published: (2024)

FactsR: A Safer Method for Producing High Quality Healthcare Documentation
by: Hansen, Victor Petrén Bach, et al.
Published: (2025)

Generative AI Spotlights the Human Core of Data Science: Implications for Education
by: Taback, Nathan
Published: (2026)

The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
by: Gui, George, et al.
Published: (2023)

Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement
by: Sielinski, Ronald
Published: (2026)

Explainability of Complex AI Models with Correlation Impact Ratio
by: Sengupta, Poushali, et al.
Published: (2026)

DeepScore: A Comprehensive Approach to Measuring Quality in AI-Generated Clinical Documentation
by: Oleson, Jon
Published: (2024)

Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment
by: Bhagat, Sudesh, et al.
Published: (2025)

Using large language models to produce literature reviews: Usages and systematic biases of microphysics parametrizations in 2699 publications
by: Zhang, Tianhang, et al.
Published: (2025)

AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
by: Hardy, Michael, et al.
Published: (2026)

Prediction of Delirium Risk in Mild Cognitive Impairment Using Time-Series data, Machine Learning and Comorbidity Patterns -- A Retrospective Study
by: Ramamoorthy, Santhakumar, et al.
Published: (2025)

Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)

Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
by: Islam, Towhidul, et al.
Published: (2025)

Adventures in Demand Analysis Using AI
by: Bach, Philipp, et al.
Published: (2024)

Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
by: Brown, Zachary C., et al.
Published: (2025)

"Crash Test Dummies" for AI-Enabled Clinical Assessment: Validating Virtual Patient Scenarios with Virtual Learners
by: Gin, Brian, et al.
Published: (2026)

PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models
by: Schlender, Thalea, et al.
Published: (2025)

Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI
by: Khan, Asma Sadia, et al.
Published: (2025)

Decade-long Emission Forecasting with an Ensemble Model in Taiwan
by: Hung, Gordon, et al.
Published: (2025)

Performance Evaluation of Large Language Models in Statistical Programming
by: Song, Xinyi, et al.
Published: (2025)

Generating Synthetic Relational Tabular Data via Structural Causal Models
by: Hoppe, Frederik, et al.
Published: (2025)

Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
by: Cao, Qinglong, et al.
Published: (2024)

Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making
by: Wang, Hui Sophie, et al.
Published: (2023)

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems
by: Tauberschmidt, Jan, et al.
Published: (2025)

StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
by: Song, Xinyi, et al.
Published: (2025)

TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
by: Dong, Fanglin
Published: (2024)

AI as "Co-founder": GenAI for Entrepreneurship
by: Cai, Junhui Jeff, et al.
Published: (2025)

A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
by: Moreau, Hugues, et al.
Published: (2024)

From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
by: Zhang, Jiaxin, et al.
Published: (2026)

Synergizing chemical and AI communities for advancing laboratories of the future
by: Oh, Saejin, et al.
Published: (2025)