🔗 Who cites «Towards A Rigorous Science of Interpretable Machine Learning»

200 papers of our library cite it (of the 140,884 whose bibliographies we read) · 15 with a page here, the most cited first · ← the paper

1. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
2. Attention is not not ExplanationSarah Wiegreffe, Yuval Pinter2019 · 1,192 citations
3. ERASER: A Benchmark to Evaluate Rationalized NLP ModelsJay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.2020 · 820 citations
4. Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
5. Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?Alon Jacovi, Yoav Goldberg2020 · 747 citations
6. Analysis Methods in Neural Language Processing: A SurveyYonatan Belinkov, James Glass2019 · 735 citations
7. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez, et al.2023 · 568 citations
8. Neural Legal Judgment Prediction in EnglishIlias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras2019 · 558 citations
9. Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 421 citations
10. Learning to Faithfully Rationalize by ConstructionSarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.2020 · 222 citations
11. Measuring Association Between Labels and Free-Text RationalesSarah Wiegreffe, Ana Marasović, Noah A. Smith2021 · 215 citations
12. Towards Faithful Model Explanation in NLP: A SurveyQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 194 citations
13. Explaining Black Box Predictions and Unveiling Data Artifacts through Influence FunctionsXiaochuang Han, Byron C. Wallace, Yulia Tsvetkov2020 · 180 citations
14. FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
15. Interpretability for Language Learners Using Example-Based Grammatical Error CorrectionMasahiro Kaneko, Sho Takase, Ayana Niwa, et al.2022 · 47 citations

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

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