---
title: "Who cites Interpretable Machine Learning: — 34 citing papers"
description: "34 papers of the Elamur Research library cite «Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/rudin-2021-interpretable-machine-learning-fundamental/cited-by/"
---
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# Who cites «Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges»](https://md.research.elamur.ai/free/en/papers/rudin-2021-interpretable-machine-learning-fundamental/)

1. **[Few-Shot Self-Rationalization with Natural Language Prompts](https://md.research.elamur.ai/free/en/papers/marasovic-2022-few-shot-self-rationalization-natural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ana Marasovic, Iz Beltagy, Doug Downey, et al.*2022 · 134 citations*
2. [**Rethinking Interpretability in the Era of Large Language Models arXiv:2402.01761**Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-rethinking-interpretability-era-large-language/)
3. **[What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective](https://md.research.elamur.ai/free/en/papers/li-2025-what-happened-llms-layers-when/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Li, Yanhong Li, Tianyi Zhou*2025 · 15 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/rudin-2021-interpretable-machine-learning-fundamental/) — Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges