BuddyBench: A Privacy-Constrained Multi-Task Benchmark for Pediatric Social-Communication Personalization
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Abstract (arXiv)
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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References · 33
- 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,120
- 2016Membership Inference Attacks against Machine Learning Modelscited by 2,221
- 2024Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameterscited by 1,928
- 2018Datasheets for Datasetscited by 1,371
- 2021Calibrate Before Use: Improving Few-Shot Performance of Language Modelscited by 1,371
- 2018Self-Attentive Sequential Recommendationcited by 1,169
- 2020LightGCN: Simplifying and Powering Graph Convolution Network for Recommendationcited by 1,134
- 2017Neural Collaborative Filteringcited by 1,108
- 2019BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformercited by 952
- 2021Revisiting Deep Learning Models for Tabular Datacited by 725
- 2019Modeling Tabular data using Conditional GANcited by 695
- 2019TabNet: Attentive Interpretable Tabular Learningcited by 640
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- 2015Estimation and Inference of Heterogeneous Treatment Effects using Random Forestscited by 597
- 2017Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learningcited by 475
- 2020TabTransformer: Tabular Data Modeling Using Contextual Embeddingscited by 398
- 2015Deep Knowledge Tracingcited by 328
- 2017Quasi-Oracle Estimation of Heterogeneous Treatment Effectscited by 328
- 2021SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Trainingcited by 310
- 2019Adapting Neural Networks for the Estimation of Treatment Effectscited by 285
- 2020Context-Aware Attentive Knowledge Tracingcited by 172
- 2016Dynamic Key-Value Memory Networks for Knowledge Tracingcited by 170
- 2019A Self-Attentive model for Knowledge Tracingcited by 169
- 2019EdNet: A Large-Scale Hierarchical Dataset in Educationcited by 106
- 2024TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensemblingcited by 105
- 2024Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Datacited by 87
- 2019RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedbackcited by 63
- 2022pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Modelscited by 50
- 2017Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effectscited by 41
- 2022Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systemscited by 31
- 2023MMASD: A Multimodal Dataset for Autism Intervention Analysiscited by 8
- 2021Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmarkcited by 4
- 2025CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Modelscited by 1
- 2026Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Spacecited by 1
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