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Who cites Eric Lehman

341 citations of their works from 318 papers of our library (of the 141,840 whose bibliographies we read) · 29 with a page here, the most cited first · ← Eric Lehman

  1. ERASER: A Benchmark to Evaluate Rationalized NLP ModelsJay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.2020 · 821 citations
  2. Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
  3. Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?Alon Jacovi, Yoav Goldberg2020 · 748 citations
  4. Fact or Fiction: Verifying Scientific ClaimsDavid Wadden, Shanchuan Lin, Kyle Lo, et al.2020 · 706 citations
  5. A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
  6. A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health SupportAshish Sharma, Adam Miner, David Atkins, et al.2020 · 408 citations
  7. ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural LanguageOyvind Tafjord, Bhavana Dalvi, Peter Clark2021 · 331 citations
  8. Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?Peter Hase, Mohit Bansal2020 · 309 citations
  9. Muppet: Massive Multi-task Representations with Pre-FinetuningArmen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 299 citations
  10. Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceTal Schuster, Adam Fisch, Regina Barzilay2021 · 289 citations
  11. A Diagnostic Study of Explainability Techniques for Text ClassificationPepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2020 · 273 citations
  12. Learning to Faithfully Rationalize by ConstructionSarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.2020 · 223 citations
  13. The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?Jasmijn Bastings, Katja Filippova2020 · 219 citations
  14. Measuring Association Between Labels and Free-Text RationalesSarah Wiegreffe, Ana Marasović, Noah A. Smith2021 · 215 citations
  15. Explaining Answers with Entailment TreesBhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.2021 · 207 citations
  16. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 199 citations
  17. The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningXi Ye, Greg Durrett2022 · 196 citations
  18. NILE : Natural Language Inference with Faithful Natural Language ExplanationsSawan Kumar, Partha Talukdar2020 · 182 citations
  19. Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights CasesIlias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.2021 · 167 citations
  20. Explaining NLP Models via Minimal Contrastive Editing (MiCE)Alexis Ross, Ana Marasović, Matthew Peters2021 · 154 citations
  21. An Information Bottleneck Approach for Controlling Conciseness in Rationale ExtractionBhargavi Paranjape, Mandar Joshi, John Thickstun, et al.2020 · 137 citations
  22. Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?Peter Hase, Shiyue Zhang, Harry Xie, et al.2020 · 120 citations
  23. Aligning Faithful Interpretations with their Social AttributionAlon Jacovi, Yoav Goldberg2021 · 119 citations
  24. Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, et al.2022 · 107 citations
  25. Inseq: An Interpretability Toolkit for Sequence Generation ModelsGabriele Sarti, Nils Feldhus, Ludwig Sickert, et al.2023 · 96 citations
  26. Faithfulness Tests for Natural Language ExplanationsPepa Atanasova, Oana-Maria Camburu, Christina Lioma, et al.2023 · 92 citations
  27. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingAbbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
  28. Can LLMs Faithfully Explain Themselves in Low-Resource Languages? A Case Study on Emotion Detection in PersianMobina Mehrazar, Mohammad Amin Yousefi, Parisa Beygi, et al.2026
  29. Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.2022

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

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