Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset

arXiv:2602.16571 · cs.CL · Submitted 2026-02-18 · Read on arXiv

cs.CL

Submitted: 2026-02-18

Updated: 2026-06-01

Code: https://github.com/ZhuqianZhou/MathEdPII

Terminology

• False Positives — 24× in this paper
• Benchmark — 21× in this paper · explained in 2 episodes
• Human-in-the-Loop — 11× in this paper · explained in 3 episodes
• Core — 8× in this paper · explained in 2 episodes
• Educational Data Mining — 6× in this paper
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Personally Identifiable Information — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Analyzer — 2× in this paper · explained in 1 episode
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Health Insurance Portability and Accountability Act — 1× in this paper
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Named Entity Recognition (NER) — 1× in this paper · explained in 2 episodes
• National Institute of Standards and Technology — 1× in this paper
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Effective and Scalable Math Support: Evidence on the Impact of an AI- Tutor on Math Achievement in Ghana
• Bidirectional LSTM-CRF Models for Sequence Tagging
• Enhancing the De-identification of Personally Identifiable Information in Educational Data
• Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

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