PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues
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Abstract (arXiv)
Personally identifiable information (PII) anonymization is a high-stakes task that poses a barrier to many open-science data sharing initiatives. While PII identification has made large strides in recent years, in practice, error thresholds and the recall/precision trade-off still limit the uptake of these anonymization pipelines. We present PIIvot, a lighter-weight framework for PII anonymization that leverages knowledge of the data context to simplify the PII detection problem. To demonstrate its effectiveness, we also contribute QATD-2k, the largest open-source real-world tutoring dataset of its kind, to support the demand for quality educational dialogue data.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 15 of its 50 references that are in the map. First posted on arXiv 22 May 2025.
Builds on
15 of 50 references.
References · 15
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,254
- 2023LIMA: Less Is More for Alignmentcited by 1,100
- 2021Are NLP Models really able to Solve Simple Math Word Problems?cited by 878
- 2023MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problemscited by 131
- 2023Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakescited by 52
- 2025MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutorscited by 49
- 2021Measuring Conversational Uptake: A Case Study on Student-Teacher Interactionscited by 44
- 2023Opportunities and Challenges in Neural Dialog Tutoringcited by 33
- 2024Learning to Summarize from LLM-generated Feedbackcited by 24
- 2021A Review of Anonymization for Healthcare Datacited by 12
- 2023Diverse Community Data for Benchmarking Data Privacy Algorithmscited by 6
Built on by
Citing papers per year: 2026: 11.
11 papers.
- 2026Simulated Students in Tutoring Dialogues: Substance or Illusion?cited by 18
- 2026Letting Tutor Personas Speak Up for LLMs: Learning Steering Vectors from Dialogue via Preference Optimizationcited by 4
- 2026Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialoguescited by 2
- 2026Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Datasetcited by 1
- 2026PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learningcited by 1
- 2026Rethinking Scaffolding in LLM Tutors: The Interactional Mismatch Between Benchmarks and Real-World Deploymentscited by 1
- 2026Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendationcited by 0
- 2026Representation Learning to Study Temporal Dynamics in Tutorial Scaffoldingcited by 0
- 2026Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identificationcited by 0
- 2026Experts Rise Where LLMs Disagree: Using Cross-Model Disagreement to Target Expert Effort in LLM Codebook Revision for Large-Scale Annotationcited by 0
- 2026A Unified Response Framework for Questions and Tutoring Dialoguescited by 0
- 2026A Unified Response Framework for Questions and Tutoring Dialogues14 Oct 2026
- 2026Experts Rise Where LLMs Disagree: Using Cross-Model Disagreement to Target Expert Effort in LLM Codebook Revision for Large-Scale Annotation22 Sep 2026
- 2026Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification16 Jun 2026
- 2026Rethinking Scaffolding in LLM Tutors: The Interactional Mismatch Between Benchmarks and Real-World Deployments14 Jun 2026
- 2026PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning28 May 2026
- 2026Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues1 May 2026
- 2026Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding25 Mar 2026
- 2026Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendation6 Mar 2026
- 2026Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset18 Feb 2026
- 2026Letting Tutor Personas Speak Up for LLMs: Learning Steering Vectors from Dialogue via Preference Optimization7 Feb 2026
- 2026Simulated Students in Tutoring Dialogues: Substance or Illusion?7 Jan 2026