Author

Kai Neubauer

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Principled Transformers for Predictive Performance in Knowledge Tracing

This paper proposes a straightforward model class, knowledge tracing set transformers (KTSTs), specifically addressing predictive performance in knowledge tracing tasks, and introduces learnable ALiBi and MHSA aggregation, which simplifies and improves upon a prevalent attention mechanism in knowledge tracing.

Kai Neubauer, Yannick Rudolph, Ulf Brefeld · 1 citation