Saved in:
| Main Authors: | Ma, Haiping, Xia, Aoqing, Wang, Changqian, Wang, Hai, Zhang, Xingyi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.12182 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
by: Yu, Xiaoshan, et al.
Published: (2025)
by: Yu, Xiaoshan, et al.
Published: (2025)
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
by: Zhuang, Yan, et al.
Published: (2024)
by: Zhuang, Yan, et al.
Published: (2024)
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
by: Kwon, Soonwoo, et al.
Published: (2023)
by: Kwon, Soonwoo, et al.
Published: (2023)
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions
by: Yu, Xiaoshan, et al.
Published: (2026)
by: Yu, Xiaoshan, et al.
Published: (2026)
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
by: Yu, Junhao, et al.
Published: (2025)
by: Yu, Junhao, et al.
Published: (2025)
Language-Model Prior Overcomes Cold-Start Items
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
Cold-Start Personalization via Training-Free Priors from Structured World Models
by: Bose, Avinandan, et al.
Published: (2026)
by: Bose, Avinandan, et al.
Published: (2026)
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
by: Kuo, Ming, et al.
Published: (2024)
by: Kuo, Ming, et al.
Published: (2024)
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
by: Yang, Shangshang, et al.
Published: (2024)
by: Yang, Shangshang, et al.
Published: (2024)
Cognitive Structure Generation: From Educational Priors to Policy Optimization
by: Gu, Hengnian, et al.
Published: (2025)
by: Gu, Hengnian, et al.
Published: (2025)
Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation
by: Sun, Shuzhou, et al.
Published: (2025)
by: Sun, Shuzhou, et al.
Published: (2025)
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
by: Zhang, Yunfei, et al.
Published: (2023)
by: Zhang, Yunfei, et al.
Published: (2023)
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing
by: Fu, Lingyue, et al.
Published: (2025)
by: Fu, Lingyue, et al.
Published: (2025)
User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)
Size-adaptive Hypothesis Testing for Fairness
by: Ferrara, Antonio, et al.
Published: (2025)
by: Ferrara, Antonio, et al.
Published: (2025)
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
by: Wang, Zhaohui, et al.
Published: (2024)
by: Wang, Zhaohui, et al.
Published: (2024)
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
by: Yang, Shangshang, et al.
Published: (2025)
by: Yang, Shangshang, et al.
Published: (2025)
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)
by: Han, Xiaotian, et al.
Published: (2023)
Towards Effective Discrimination Testing for Generative AI
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start
by: Wei, Lai, et al.
Published: (2025)
by: Wei, Lai, et al.
Published: (2025)
Evidence Without Injustice: A New Counterfactual Test for Fair Algorithms
by: Loi, Michele, et al.
Published: (2025)
by: Loi, Michele, et al.
Published: (2025)
Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023)
by: Li, Jia, et al.
Published: (2023)
Data Augmentation via Diffusion Model to Enhance AI Fairness
by: Blow, Christina Hastings, et al.
Published: (2024)
by: Blow, Christina Hastings, et al.
Published: (2024)
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
by: Llorca, David Fernández, et al.
Published: (2024)
by: Llorca, David Fernández, et al.
Published: (2024)
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
by: Vassoyan, Jean, et al.
Published: (2024)
by: Vassoyan, Jean, et al.
Published: (2024)
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
by: Li, Zhonghang, et al.
Published: (2024)
by: Li, Zhonghang, et al.
Published: (2024)
Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps
by: Xia, Meng, et al.
Published: (2025)
by: Xia, Meng, et al.
Published: (2025)
Fair Machine Learning in Healthcare: A Review
by: Feng, Qizhang, et al.
Published: (2022)
by: Feng, Qizhang, et al.
Published: (2022)
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
by: Yu, Xiaoshan, et al.
Published: (2024)
by: Yu, Xiaoshan, et al.
Published: (2024)
Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
by: Zheng, Yujie, et al.
Published: (2026)
by: Zheng, Yujie, et al.
Published: (2026)
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
by: Amon, Archer, et al.
Published: (2024)
by: Amon, Archer, et al.
Published: (2024)
Procedural Fairness Through Decoupling Objectionable Data Generating Components
by: Tang, Zeyu, et al.
Published: (2023)
by: Tang, Zeyu, et al.
Published: (2023)
AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
by: Wang, Zichong, et al.
Published: (2025)
by: Wang, Zichong, et al.
Published: (2025)
NaiAD: Initiate Data-Driven Research for LLM Advertising
by: Zhang, Yihang, et al.
Published: (2026)
by: Zhang, Yihang, et al.
Published: (2026)
Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
by: Zhang, Miao, et al.
Published: (2024)
by: Zhang, Miao, et al.
Published: (2024)
Jump Starting Bandits with LLM-Generated Prior Knowledge
by: Alamdari, Parand A., et al.
Published: (2024)
by: Alamdari, Parand A., et al.
Published: (2024)
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025)
by: Li, Yiyang, et al.
Published: (2025)
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
by: Li, Zhonghang, et al.
Published: (2024)
by: Li, Zhonghang, et al.
Published: (2024)
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
by: Cui, Jiajun, et al.
Published: (2023)
by: Cui, Jiajun, et al.
Published: (2023)
Differentiating Student Feedbacks for Knowledge Tracing
by: Cui, Jiajun, et al.
Published: (2022)
by: Cui, Jiajun, et al.
Published: (2022)
Similar Items
-
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
by: Yu, Xiaoshan, et al.
Published: (2025) -
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
by: Zhuang, Yan, et al.
Published: (2024) -
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
by: Kwon, Soonwoo, et al.
Published: (2023) -
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions
by: Yu, Xiaoshan, et al.
Published: (2026) -
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
by: Yu, Junhao, et al.
Published: (2025)