MBP-KT uses meta-behavioral pattern sequences and a parameter-free extractor to inject global collaborative information into knowledge tracing models, consistently improving their performance on real datasets.
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The paper consolidates existing research on Mamba models, their architecture variants, adaptations to different data modalities, and applications across domains.
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MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing
MBP-KT uses meta-behavioral pattern sequences and a parameter-free extractor to inject global collaborative information into knowledge tracing models, consistently improving their performance on real datasets.
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A Survey of Mamba
The paper consolidates existing research on Mamba models, their architecture variants, adaptations to different data modalities, and applications across domains.