Guardado en:
| Autores principales: | Hartley, John, Hamill, Conor, Batra, Devesh, Seddon, Dale, Okhrati, Ramin, Khraishi, Raad |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2503.04735 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Model
por: Okhrati, Ramin
Publicado: (2024)
por: Okhrati, Ramin
Publicado: (2024)
Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes
por: Atreya, Alankar, et al.
Publicado: (2026)
por: Atreya, Alankar, et al.
Publicado: (2026)
VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights
por: Patel, Zeel B, et al.
Publicado: (2024)
por: Patel, Zeel B, et al.
Publicado: (2024)
Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks
por: Pelosio, Giulio, et al.
Publicado: (2025)
por: Pelosio, Giulio, et al.
Publicado: (2025)
Investigating Role of Personal Factors in Shaping Responses to Active Shooter Incident using Machine Learning
por: Liu, Ruying, et al.
Publicado: (2025)
por: Liu, Ruying, et al.
Publicado: (2025)
Behavioural Analytics: Mathematics of the Mind
por: Lane, Richard, et al.
Publicado: (2025)
por: Lane, Richard, et al.
Publicado: (2025)
Infected Smallville: How Disease Threat Shapes Sociality in LLM Agents
por: Choi, Soyeon, et al.
Publicado: (2025)
por: Choi, Soyeon, et al.
Publicado: (2025)
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain
por: Gajane, Pratik, et al.
Publicado: (2024)
por: Gajane, Pratik, et al.
Publicado: (2024)
Mining Voter Behaviour and Confidence: A Rule-Based Analysis of the 2022 U.S. Elections
por: Jubair, Md Al, et al.
Publicado: (2025)
por: Jubair, Md Al, et al.
Publicado: (2025)
Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm
por: Wei, Qianru, et al.
Publicado: (2026)
por: Wei, Qianru, et al.
Publicado: (2026)
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
por: Immorlica, Nicole, et al.
Publicado: (2024)
por: Immorlica, Nicole, et al.
Publicado: (2024)
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
por: Wang, Jiawei, et al.
Publicado: (2024)
por: Wang, Jiawei, et al.
Publicado: (2024)
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation
por: Nguyen, Tu, et al.
Publicado: (2018)
por: Nguyen, Tu, et al.
Publicado: (2018)
Extending Activation Steering to Broad Skills and Multiple Behaviours
por: van der Weij, Teun, et al.
Publicado: (2024)
por: van der Weij, Teun, et al.
Publicado: (2024)
A Human-Centric Approach to Explainable AI for Personalized Education
por: Swamy, Vinitra
Publicado: (2025)
por: Swamy, Vinitra
Publicado: (2025)
Peeking Behind Closed Doors: Risks of LLM Evaluation by Private Data Curators
por: Bansal, Hritik, et al.
Publicado: (2025)
por: Bansal, Hritik, et al.
Publicado: (2025)
The Risks of Recourse in Binary Classification
por: Fokkema, Hidde, et al.
Publicado: (2023)
por: Fokkema, Hidde, et al.
Publicado: (2023)
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches
por: Mamidala, Srilekha
Publicado: (2023)
por: Mamidala, Srilekha
Publicado: (2023)
Personalized Programming Guidance based on Deep Programming Learning Style Capturing
por: Liu, Yingfan, et al.
Publicado: (2024)
por: Liu, Yingfan, et al.
Publicado: (2024)
Personalizing Mathematical Game-based Learning for Children: A Preliminary Study
por: Gao, Jie, et al.
Publicado: (2026)
por: Gao, Jie, et al.
Publicado: (2026)
MESD: A Risk-Sensitive Metric for Explanation Fairness Across Intersectional Subgroups
por: Popoola, Gideon, et al.
Publicado: (2026)
por: Popoola, Gideon, et al.
Publicado: (2026)
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
por: Xiong, Zhang, et al.
Publicado: (2024)
por: Xiong, Zhang, et al.
Publicado: (2024)
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
por: Arghal, Raghu, et al.
Publicado: (2026)
por: Arghal, Raghu, et al.
Publicado: (2026)
Fairness Risks for Group-conditionally Missing Demographics
por: Jiang, Kaiqi, et al.
Publicado: (2024)
por: Jiang, Kaiqi, et al.
Publicado: (2024)
Extinction Risks from AI: Invisible to Science?
por: Kovarik, Vojtech, et al.
Publicado: (2024)
por: Kovarik, Vojtech, et al.
Publicado: (2024)
The Benefits and Risks of Transductive Approaches for AI Fairness
por: Razzak, Muhammed, et al.
Publicado: (2024)
por: Razzak, Muhammed, et al.
Publicado: (2024)
Fairness in LLM-Generated Surveys
por: Abeliuk, Andrés, et al.
Publicado: (2025)
por: Abeliuk, Andrés, et al.
Publicado: (2025)
The Impact of Pseudo-Science in Financial Loans Risk Prediction
por: Scarone, Bruno, et al.
Publicado: (2025)
por: Scarone, Bruno, et al.
Publicado: (2025)
Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
por: Singh, Ashwin, et al.
Publicado: (2026)
por: Singh, Ashwin, et al.
Publicado: (2026)
Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments
por: Checker, Saksham, et al.
Publicado: (2024)
por: Checker, Saksham, et al.
Publicado: (2024)
FORTRESS: Frontier Risk Evaluation for National Security and Public Safety
por: Knight, Christina Q., et al.
Publicado: (2025)
por: Knight, Christina Q., et al.
Publicado: (2025)
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways
por: Zhu, Tianheng, et al.
Publicado: (2024)
por: Zhu, Tianheng, et al.
Publicado: (2024)
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
por: Zhang, He, et al.
Publicado: (2023)
por: Zhang, He, et al.
Publicado: (2023)
Fast and Interpretable Mortality Risk Scores for Critical Care Patients
por: Zhu, Chloe Qinyu, et al.
Publicado: (2023)
por: Zhu, Chloe Qinyu, et al.
Publicado: (2023)
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food
por: Artman, Conor M., et al.
Publicado: (2024)
por: Artman, Conor M., et al.
Publicado: (2024)
Shaping AI's Impact on Billions of Lives
por: Cuéllar, Mariano-Florentino, et al.
Publicado: (2024)
por: Cuéllar, Mariano-Florentino, et al.
Publicado: (2024)
Personalized Differential Privacy for Ridge Regression
por: Acharya, Krishna, et al.
Publicado: (2024)
por: Acharya, Krishna, et al.
Publicado: (2024)
Personalized Auto-Grading and Feedback System for Constructive Geometry Tasks Using Large Language Models on an Online Math Platform
por: Lee, Yong Oh, et al.
Publicado: (2025)
por: Lee, Yong Oh, et al.
Publicado: (2025)
What Makes An Expert? Reviewing How ML Researchers Define "Expert"
por: Díaz, Mark, et al.
Publicado: (2024)
por: Díaz, Mark, et al.
Publicado: (2024)
EnviroLLM: Resource Tracking and Optimization for Local AI
por: Allen, Troy
Publicado: (2025)
por: Allen, Troy
Publicado: (2025)
Ejemplares similares
-
Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Model
por: Okhrati, Ramin
Publicado: (2024) -
Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes
por: Atreya, Alankar, et al.
Publicado: (2026) -
VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights
por: Patel, Zeel B, et al.
Publicado: (2024) -
Obscured but Not Erased: Evaluating Nationality Bias in LLMs via Name-Based Bias Benchmarks
por: Pelosio, Giulio, et al.
Publicado: (2025) -
Investigating Role of Personal Factors in Shaping Responses to Active Shooter Incident using Machine Learning
por: Liu, Ruying, et al.
Publicado: (2025)