29 citations · 29 across the 6 of their papers we have counts for
6 papers
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
Yuanhao Liu, Zihan Zhou, Kaiying Wu +5
Learner-item cognitive modeling plays a central role in the web-based online intelligent education system by enabling cognitive diagnosis (CD) across diverse online educational sce…
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
Shuo Liu, Zihan Zhou, Yuanhao Liu +2
Cognitive diagnosis aims to infer students' mastery levels based on their historical response logs. However, existing cognitive diagnosis models (CDMs), which rely on ID embeddings…
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments
Yuanhao Liu, Shuo Liu, Yimeng Liu +2
Cognitive diagnosis model (CDM) is a fundamental and upstream component in intelligent education. It aims to infer students' mastery levels based on historical response logs. Howev…
Preference Diffusion for Recommendation
Shuo Liu, An Zhang, Guoqing Hu +2
Recommender systems predict personalized item rankings based on user preference distributions derived from historical behavior data. Recently, diffusion models (DMs) have gained at…
ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems
Hong Qian, Shuo Liu, Mingjia Li +3
Cognitive diagnosis models (CDMs) are designed to learn students' mastery levels using their response logs. CDMs play a fundamental role in online education systems since they sign…
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
Shuo Liu, Junhao Shen, Hong Qian +1
Cognitive diagnosis aims to gauge students' mastery levels based on their response logs. Serving as a pivotal module in web-based online intelligent education systems (WOIESs), it…