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Youheng Bai

3 accepted papers

2025

Denoised Attention and Question-Augmented Representations for Knowledge Tracing

IJCAI 2025

Knowledge tracing (KT) is an essential task in online education systems. It aims to predict the future performance of students based on their historical learning interaction data. Despite significant advancements in attention-based KT models, they still face some limitations: inaccurate input repres

2025

Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models

AAAI 2025technical

Knowledge tracing (KT) models students' knowledge states and predicts their future performance based on their historical interaction data. However, attention based KT models struggle to accurately capture diverse forgetting behaviors in ever-growing interaction sequences. First, existing models us…

Cited by 0SourcePDFScholar
2024

Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases

IJCAI 2024poster

Knowledge tracing (KT) is the task of predicting students' future performance based on their historical learning interaction data. With the rapid advancement of attention mechanisms, many attention based KT models are developed. However, existing attention based KT models exhibit performance drops a…

Cited by 8SourcePDFScholar