---
title: "Who cites Automated distractor and feedback — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Automated distractor and feedback generation for math multiple-choice questions via in-context…"
canonical: "https://research.elamur.ai/free/en/papers/mcnichols-2023-automated-distractor-feedback-generation-math/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Automated distractor and feedback generation for…](https://md.research.elamur.ai/free/en/papers/mcnichols-2023-automated-distractor-feedback-generation-math/) / cited by

# Who cites «Automated distractor and feedback generation for math multiple-choice questions via in-context learning»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Automated distractor and feedback generation for math multiple-choice questions via in-context learning»](https://md.research.elamur.ai/free/en/papers/mcnichols-2023-automated-distractor-feedback-generation-math/)

1. **[Improving the Validity of Automatically Generated Feedback via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/scarlatos-2024-improving-validity-automatically-generated-feedback/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Alexander Scarlatos, Digory Smith, Simon Woodhead, et al.*2024 · 47 citations*
2. **[Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation](https://md.research.elamur.ai/free/en/papers/petukhova-2026-pedagogically-aligned-llm-tutors-math/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Kseniia Petukhova, Tien Dat Nguyen, Ekaterina Kochmar*2026*

7 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/mcnichols-2023-automated-distractor-feedback-generation-math/) — Automated distractor and feedback generation for math multiple-choice questions via in-context learning