activity
20192026
most citedExploiting Cognitive Structure for Adaptive Learning

137 citations · 214 across the 22 of their papers we have counts for

collaborators
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2026

Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective

Chenye Ke, Zirui Liu, Qi Liu +4

Detecting pretraining data in large language models is challenging because high likelihood can reflect either training exposure or strong generalization. In the joint space of pred…

cs.LG2025

MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers

Lili Zhao, Qi Liu, Wei Chen +5

Empirical Risk Minimization (ERM) models often rely on spurious correlations between features and labels during the learning process, leading to shortcut learning behavior that und…

cs.LG2024★ 5 cited

Survey of Computerized Adaptive Testing: A Machine Learning Perspective

Yan Zhuang, Qi Liu, Haoyang Bi +12

Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test questions based on individual perfo…

cs.LG2019★ 2 cited

Neural Cognitive Diagnosis for Intelligent Education Systems

Fei Wang, Qi Liu, Enhong Chen +5

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts. Existing approaches us…

cs.LG2019★ 36 cited

QuesNet: A Unified Representation for Heterogeneous Test Questions

Yu Yin, Qi Liu, Zhenya Huang +4

Understanding learning materials (e.g. test questions) is a crucial issue in online learning systems, which can promote many applications in education domain. Unfortunately, many s…