--- title: "Who cites Sawan Kumar — 134 papers of our library" description: "134 papers of the Elamur Research library cite the works of Sawan Kumar, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/sawan-kumar/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sawan-kumar/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Sawan Kumar](https://md.research.elamur.ai/free/en/authors/sawan-kumar/) / cited by # Who cites Sawan Kumar 134 citations of their works from 134 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← Sawan Kumar](https://md.research.elamur.ai/free/en/authors/sawan-kumar/) 1. **[Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,556 citations* 2. **[Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-breaking-through-80-glass-ceiling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michele Bevilacqua, Roberto Navigli*2020 · 233 citations* 3. **[Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations* 4. **[Measuring Association Between Labels and Free-Text Rationales](https://md.research.elamur.ai/free/en/papers/wiegreffe-2021-measuring-association-between-labels-free/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sarah Wiegreffe, Ana Marasović, Noah A. Smith*2021 · 220 citations* 5. **[Towards Faithful Model Explanation in NLP: A Survey](https://md.research.elamur.ai/free/en/papers/lyu-2024-faithful-model-explanation-nlp-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Qing Lyu, Marianna Apidianaki, Chris Callison-Burch*2024 · 197 citations* 6. **[Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/louis-2023-interpretable-long-form-legal-question/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Antoine Louis, Gijs van Dijck, Gerasimos Spanakis*2023 · 157 citations* 7. **[Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?](https://md.research.elamur.ai/free/en/papers/hase-2020-leakage-adjusted-simulatability-can-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peter Hase, Shiyue Zhang, Harry Xie, et al.*2020 · 126 citations* 8. [**Faithful Reasoning Using Large Language Models arXiv:2208.14271**Antonia Creswell, Murray Shanahan*2022 · 122 citations*](https://md.research.elamur.ai/free/en/papers/creswell-2022-faithful-reasoning-using-large-language/) 9. **[ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension](https://md.research.elamur.ai/free/en/papers/barba-2021-consec-word-sense-disambiguation-as/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Edoardo Barba, Luigi Procopio, Roberto Navigli*2021 · 109 citations* 10. **[QED: A Framework and Dataset for Explanations in Question Answering](https://md.research.elamur.ai/free/en/papers/lamm-2021-qed-framework-dataset-explanations-question/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Matthew Lamm, Jennimaria Palomaki, Chris Alberti, et al.*2021 · 91 citations* 11. **[Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving](https://md.research.elamur.ai/free/en/papers/quan-2024-verification-refinement-natural-language-explanations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Quan, Marco Valentino, Louise A. Dennis, et al.*2024 · 52 citations* 12. **[KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/chen-2021-kace-generating-knowledge-aware-contrastive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianglong Chen, Feng Ji, Xiangji Zeng, et al.*2021 · 28 citations* 13. **[Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards](https://md.research.elamur.ai/free/en/papers/valentino-2021-do-natural-language-explanations-represent/) [International Conference on Computational Semantics](https://md.research.elamur.ai/free/en/venues/iwcs/)**Marco Valentino, Ian Pratt-Hartmann, André Freitas*2021 · 11 citations* 14. **[Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings](https://md.research.elamur.ai/free/en/papers/schuff-2021-does-external-knowledge-help-explainable/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, et al.*2021 · 11 citations* 15. **[FaithLM: Towards Faithful Explanations for Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2026-faithlm-faithful-explanations-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.*2026 · 9 citations* 16. [**Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation arXiv:2304.12443**Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-understanding-predicting-human-label-variation/) 17. **[Annotation Difficulties in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/kalouli-2021-annotation-difficulties-natural-language-inference/) [Brazilian Symposium in Information and Human Language Technology](https://md.research.elamur.ai/free/en/venues/stil/)**Aikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.*2021 · 5 citations* 18. **[Conditional Natural Language Inference](https://md.research.elamur.ai/free/en/papers/kim-2023-conditional-natural-language-inference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Youngwoo Kim, Razieh Rahimi, James Allan*2023 · 4 citations* 19. **[Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection](https://md.research.elamur.ai/free/en/papers/stacey-2026-improving-ood-performance-closed-source/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joe Stacey, Lisa Alazraki, Aran Ubhi, et al.*2026 · 1 citation* 115 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/sawan-kumar/) — Sawan Kumar