45 citations · 80 across the 8 of their papers we have counts for
8 papers
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
Hao Zhou, Wenge Rong, Jianfei Zhang +3
Knowledge Tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant…
Explainable Few-shot Knowledge Tracing
Haoxuan Li, Jifan Yu, Yuanxin Ouyang +4
Knowledge tracing (KT), aiming to mine students' mastery of knowledge by their exercise records and predict their performance on future test questions, is a critical task in educat…
Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty
Haoxuan Li, Yuanxin Ouyang, Zhuang Liu +2
Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interactions. However, most CF…
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search
Zehan Li, Jianfei Zhang, Chuantao Yin +2
Retrieval-based code question answering seeks to match user queries in natural language to relevant code snippets. Previous approaches typically rely on pretraining models using cr…
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Zhang Xiong, Haoxuan Li, Zhuang Liu +4
Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness…
Revisiting Demonstration Selection Strategies in In-Context Learning
Keqin Peng, Liang Ding, Yancheng Yuan +4
Large language models (LLMs) have shown an impressive ability to perform a wide range of tasks using in-context learning (ICL), where a few examples are used to describe a task to…