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arXiv · 2605.28089

BuddyBench: A Privacy-Constrained Multi-Task Benchmark for Pediatric Social-Communication Personalization

Jeyeon Eo·Joo Young Kim·Ran Ju·Minyoung Jung·Unggi Lee
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Abstract

BuddyBench introduces a privacy-constrained multi-task benchmark for pediatric social-communication personalization. Unlike existing neurodevelopmental repositories that primarily emphasize imaging, genetics, or cross-sectional clinical phenotyping, BuddyBench links drill-level learning trajectories, standardized clinical assessments, BuddyPlan self-report, and randomized-treatment endpoints within a unified benchmark schema. BuddyBench combines two cohorts: ND-03 is an observational cohort with dense drill coverage for Tasks1-2 (n = 189), and ND-02 is a randomized controlled trial cohort for Tasks3-4 (n = 86 ITT). Together, they support knowledge tracing, next-drill recommendation, clinical prediction, and causal inference, linking behavioral personalization to clinical evaluation. We additionally introduce BuddyBench-Sim, a synthetic companion dataset for reproducible evaluation. Baselines show signal across tasks while keeping pediatric clinical records protected.

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Jeyeon Eo, Joo Young Kim, Ran Ju, Minyoung Jung, Unggi Lee. 2026-05-27. BuddyBench: A Privacy-Constrained Multi-Task Benchmark for Pediatric Social-Communication Personalization. https://arxiv.org/abs/2605.28089

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