4 papers
Recovering Stranded Discrimination in Knowledge Tracing: Per-Item Bias Correction via Empirical-Bayes Shrinkage
Xiaoran Yan, Cheng Tang, Atsushi Shimada
Deployed knowledge-tracing models are typically frozen after training, yet systematic per-item logit bias arises, from limited per-item expressivity in backbone architectures and f…
Scaffolding Metacognition in Programming Education: Understanding Student-AI Interactions and Design Implications
Boxuan Ma, Huiyong Li, Gen Li +6
Generative AI tools such as ChatGPT now provide novice programmers with unprecedented access to instant, personalized support. While this holds clear promise, their influence on st…
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements
Sijie Xiong, Shuqing Liu, Cheng Tang +3
"This work has been submitted to the lEEE for possible publication. Copyright may be transferred without noticeafter which this version may no longer be accessible." Time series mo…
Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction
Erwin D. López Z., Cheng Tang, Atsushi Shimada
This paper proposes Attention-Seeker, an unsupervised keyphrase extraction method that leverages self-attention maps from a Large Language Model to estimate the importance of candi…