3 papers
cs.CL2026
Measuring the Cross-Lingual Comprehension Gap: How the language of the evidence shapes what language models understand
Rafael da Silva, Jeff Eicher
Language models are often evaluated as though capabilities demonstrated in English remain equally available when the same content is presented in other languages. Traditional multi…
cs.LG2026
A Unified Survival Benchmark for Temporal Dropout Risk Prediction in Learning Analytics
Rafael da Silva, Jeff Eicher, Gregory Longo
Student dropout is a persistent concern in Learning Analytics, yet comparative studies frequently evaluate predictive models under heterogeneous protocols, prioritizing discriminat…
cs.LG2026
An Auditable Policy-Simulation Framework for Student Dropout in Intervention-Free Data
Rafael da Silva, Jeff Eicher, Gregory Longo
This study proposes a temporal modeling framework with a counterfactual policy-simulation layer for student dropout in higher education, using LMS engagement data and administrativ…