5 papers
Cross-Platform Domain Adaptation for Multi-Modal MOOC Learner Satisfaction Prediction
Jakub Kowalski, Magdalena Piotrowska
Learner satisfaction prediction from MOOC reviews and behavioral logs is valuable for course quality improvement and platform operations. In practice, models trained on one platfor…
Early-Warning Learner Satisfaction Forecasting in MOOCs via Temporal Event Transformers and LLM Text Embeddings
Anna Kowalczyk, Jakub Kowalski
Learner satisfaction is a critical quality signal in massive open online courses (MOOCs), directly influencing retention, engagement, and platform reputation. Most existing methods…
Efficient Stable Population Protocols for Parity and Beyond
Leszek Gąsieniec, Tytus Grodzicki, Tomasz Jurdziński +2
For nearly two decades, population protocols have been extensively studied, yielding efficient solutions for central problems in distributed computing, including leader election, a…
Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning
Aditya Sharma, Ananya Gupta, Chengyu Wang +2
Large Language Models (LLMs), despite their advanced linguistic capabilities, fundamentally lack an intuitive understanding of physical dynamics, which limits their effectiveness i…
Selective Population Protocols
Adam Gańczorz, Leszek Gąsieniec, Tomasz Jurdziński +2
The model of population protocols provides a universal platform to study distributed processes driven by pairwise interactions of anonymous agents. While population protocols prese…