Cover Image

Unified Uncertainty Estimation for Cognitive Diagnosis Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Fei, Liu, Qi, Chen, Enhong, Liu, Chuanren, Huang, Zhenya, Wu, Jinze, Wang, Shijin
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Survey of Computerized Adaptive Testing: A Machine Learning Perspective
by: Zhuang, Yan, et al.
Published: (2024)

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
by: Sun, Xinjie, et al.
Published: (2025)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
by: Liu, Shuo, et al.
Published: (2025)

A Survey of Knowledge Tracing: Models, Variants, and Applications
by: Shen, Shuanghong, et al.
Published: (2021)

Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
by: Zhang, Miao, et al.
Published: (2024)

End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial
by: Yang, Fulai, et al.
Published: (2024)

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)

Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts
by: Sun, Xinjie, et al.
Published: (2024)

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
by: Shen, Junhao, et al.
Published: (2023)

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions
by: Wang, Fei, et al.
Published: (2024)

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
by: Xiao, Tong, et al.
Published: (2024)

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
by: Liu, Jiayu, et al.
Published: (2025)

Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
by: Xiao, Tong, et al.
Published: (2025)

Disentangling the Drivers of LLM Social Conformity: An Uncertainty-Moderated Dual-Process Mechanism
by: Zhong, Huixin, et al.
Published: (2025)

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
by: Shao, Pengyang, et al.
Published: (2024)

Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties
by: Wang, Zhaoan, et al.
Published: (2024)

Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2023)

Cognitive Structure Generation: From Educational Priors to Policy Optimization
by: Gu, Hengnian, et al.
Published: (2025)

Learning Fair Models without Sensitive Attributes: A Generative Approach
by: Zhu, Huaisheng, et al.
Published: (2022)

Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
by: Löfström, Tuwe, et al.
Published: (2024)

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
by: Xu, Tianyang, et al.
Published: (2025)

Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
by: Itzhak, Itay, et al.
Published: (2023)

LLM Safety Alignment is Divergence Estimation in Disguise
by: Haldar, Rajdeep, et al.
Published: (2025)

Counterfactual Fairness with Graph Uncertainty
by: Valério, Davi, et al.
Published: (2026)

Mitigating Gender Bias in Depression Detection via Counterfactual Inference
by: Hu, Mingxuan, et al.
Published: (2025)

Automating Leukemia Diagnosis with Autoencoders: A Comparative Study
by: Sayyadpour, Minoo, et al.
Published: (2023)

MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling
by: Krishnan, Dhriti, et al.
Published: (2026)

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis
by: Liu, Fei, et al.
Published: (2024)

On Catastrophic Inheritance of Large Foundation Models
by: Chen, Hao, et al.
Published: (2024)

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

Active Fourier Auditor for Estimating Distributional Properties of ML Models
by: Ajarra, Ayoub, et al.
Published: (2024)

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

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
by: Zhu, Zhaowei, et al.
Published: (2023)

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

End-to-End Graph Flattening Method for Large Language Models
by: Hong, Bin, et al.
Published: (2024)

Editing Personality for Large Language Models
by: Mao, Shengyu, et al.
Published: (2023)

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
by: Zhao, Chen, et al.
Published: (2023)

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
by: Rabanser, Stephan
Published: (2025)

Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
by: Liu, Mutong, et al.
Published: (2026)