---
title: "Who cites Finale Doshi-Velez"
description: "222 papers of the Elamur Research library cite the works of Finale Doshi-Velez, found in their bibliographies; the most cited first."
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---
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# Who cites Finale Doshi-Velez

222 citations of their works from 222 papers of our library (of the 140,884 whose bibliographies we read) · 17 with a page here, the most cited first · [← Finale Doshi-Velez](https://md.research.elamur.ai/free/en/authors/finale-doshi-velez/)

1. [**On the Opportunities and Risks of Foundation Models**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,044 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
2. [**Attention is not not Explanation**Sarah Wiegreffe, Yuval Pinter*2019 · 1,192 citations*](https://md.research.elamur.ai/free/en/papers/wiegreffe-2019-attention-is-not-not-explanation/)
3. [**ERASER: A Benchmark to Evaluate Rationalized NLP Models**Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.*2020 · 820 citations*](https://md.research.elamur.ai/free/en/papers/deyoung-2020-eraser-benchmark-evaluate-rationalized-nlp/)
4. [**Explainability for Large Language Models: A Survey**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 785 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/)
5. [**Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?**Alon Jacovi, Yoav Goldberg*2020 · 747 citations*](https://md.research.elamur.ai/free/en/papers/jacovi-2020-faithfully-interpretable-nlp-systems-how/)
6. [**Analysis Methods in Neural Language Processing: A Survey**Yonatan Belinkov, James Glass*2019 · 735 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2019-analysis-methods-neural-language-processing/)
7. [**Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting**Miles Turpin, Julian Michael, Ethan Perez, et al.*2023 · 568 citations*](https://md.research.elamur.ai/free/en/papers/turpin-2023-language-models-don-t-always/)
8. [**Neural Legal Judgment Prediction in English**Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras*2019 · 558 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-neural-legal-judgment-prediction-english/)
9. [**Ethical and social risks of harm from Language Models**Laura Weidinger, John Mellor, Maribeth Rauh, et al.*2021 · 421 citations*](https://md.research.elamur.ai/free/en/papers/weidinger-2021-ethical-social-risks-harm-language/)
10. [**Learning to Faithfully Rationalize by Construction**Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.*2020 · 222 citations*](https://md.research.elamur.ai/free/en/papers/jain-2020-learning-faithfully-rationalize-construction/)
11. [**Measuring Association Between Labels and Free-Text Rationales**Sarah Wiegreffe, Ana Marasović, Noah A. Smith*2021 · 215 citations*](https://md.research.elamur.ai/free/en/papers/wiegreffe-2021-measuring-association-between-labels-free/)
12. [**Towards Faithful Model Explanation in NLP: A Survey**Qing Lyu, Marianna Apidianaki, Chris Callison-Burch*2024 · 194 citations*](https://md.research.elamur.ai/free/en/papers/lyu-2024-faithful-model-explanation-nlp-survey/)
13. [**Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions**Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov*2020 · 180 citations*](https://md.research.elamur.ai/free/en/papers/han-2020-explaining-black-box-predictions-unveiling/)
14. [**FLUTE: Figurative Language Understanding through Textual Explanations**Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-flute-figurative-language-understanding-through/)
15. [**Compound Probabilistic Context-Free Grammars for Grammar Induction**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 79 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/)
16. [**Interpretability for Language Learners Using Example-Based Grammatical Error Correction**Masahiro Kaneko, Sho Takase, Ayana Niwa, et al.*2022 · 47 citations*](https://md.research.elamur.ai/free/en/papers/kaneko-2022-interpretability-language-learners-example-based/)
17. [**The Importance of Category Labels in Grammar Induction with Child-directed Utterances**Lifeng Jin, William Schuler*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/jin-2020-importance-category-labels-grammar-induction/)

205 more citing papers of our library have no page here yet.

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