--- title: "Urvashi Khandelwal — author profile and papers in our library" description: "Urvashi Khandelwal, Stanford University: 3 papers on Elamur Research (2018–2022), h-index 14 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/urvashi-khandelwal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/urvashi-khandelwal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Urvashi Khandelwal # Urvashi Khandelwal Urvashi Khandelwal has 3 papers in our library, in 2018–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/), [Dan Jurafsky](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/), [Fangyu Liu](https://md.research.elamur.ai/free/en/authors/fangyu-liu/). 3 papers in our library · 2018–2022 [OpenAlex](https://openalex.org/A5088072227) · [**h-index 14**](https://openalex.org/authors/A5088072227) · [16 works](https://openalex.org/works?filter=author.id:A5088072227) · [4,361 citations](https://openalex.org/works?filter=author.id:A5088072227&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/urvashi-khandelwal/#papers) · [🔗 Cited 4,013 times in our library](https://md.research.elamur.ai/free/en/authors/urvashi-khandelwal/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3045](https://md.research.elamur.ai/free/en/paper-stars/page/31/#star-3045) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Urvashi+Khandelwal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Urvashi+Khandelwal) · [dblp](https://dblp.org/search?q=Urvashi+Khandelwal) · [ACL Anthology](https://aclanthology.org/search/?q=Urvashi+Khandelwal) ## Affiliations [🎓**Stanford University** Stanford · United States 2018–2024 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2013–2014 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🏢**Meta** Menlo Park · United States 2019–2020 · 2 papers](https://md.research.elamur.ai/free/en/companies/meta/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/urvashi-khandelwal/year/2022/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/urvashi-khandelwal/year/2019/) · [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/urvashi-khandelwal/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context](https://md.research.elamur.ai/free/en/papers/khandelwal-2018-sharp-nearby-fuzzy-far-away/)** *(2018 · 399 citations)* Neural language models beat n-gram models, and this is often credited to their use of distant context. This paper tests that claim directly. It asks three things: how many preceding tokens an LSTM language model actually exploits, whether near and far context are represented differently, and how a copy mechanism… 2. **[BAM! Born-Again Multi-Task Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/clark-2019-bam-born-again-multi-task/)** *(2019 · 285 citations)* Multi-task neural models in NLP often fail to match the accuracy of separately trained single-task models. 3. **[Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding](https://md.research.elamur.ai/free/en/papers/lee-2022-pix2struct-screenshot-parsing-pretraining-visual/)** *(2022 · 158 citations)* Pix2Struct is a general pretrained model for images where text and visuals are mixed, such as documents, charts, diagrams, app screens, and photos containing text. ## All works 9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[What Does BERT Look at? An Analysis of BERT's Attention ↗](https://aclanthology.org/W19-4828/) Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP · no summary yet**Kevin Clark et al.*2019 · 2,049 citations* 2. **[Generalization through Memorization: Nearest Neighbor Language Models ↗](https://arxiv.org/abs/1911.00172) arXiv:1911.00172 · no summary yet**Urvashi Khandelwal et al.*2019 · 464 citations* 3. **[Emergent linguistic structure in artificial neural networks trained by self-supervision ↗](https://doi.org/10.1073/pnas.1907367117) Proceedings of the National Academy of Sciences · no summary yet**Christopher D. Manning et al.*2020 · 461 citations* 4. **[Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context](https://md.research.elamur.ai/free/en/papers/khandelwal-2018-sharp-nearby-fuzzy-far-away/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Urvashi Khandelwal, He He, Peng Qi, et al.*2018 · 399 citations* 5. **[BAM! Born-Again Multi-Task Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/clark-2019-bam-born-again-multi-task/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.*2019 · 285 citations* 6. **[Nearest Neighbor Machine Translation ↗](https://arxiv.org/abs/2010.00710) arXiv (Cornell University) · no summary yet**Urvashi Khandelwal et al.*2020 · 193 citations* 7. **[With Little Power Comes Great Responsibility ↗](https://aclanthology.org/2020.emnlp-main.745/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Dallas Card et al.*2020 · 173 citations* 8. [**Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding arXiv:2210.03347**Kenton Lee, Mandar Joshi, Iulia Turc, et al.*2022 · 158 citations*](https://md.research.elamur.ai/free/en/papers/lee-2022-pix2struct-screenshot-parsing-pretraining-visual/) 9. **[Sample Efficient Text Summarization Using a Single Pre-Trained Transformer ↗](https://arxiv.org/abs/1905.08836) arXiv (Cornell University) · no summary yet**Urvashi Khandelwal et al.*2019 · 81 citations* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) - [Dan Jurafsky](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/) - [Fangyu Liu](https://md.research.elamur.ai/free/en/authors/fangyu-liu/) - [He He](https://md.research.elamur.ai/free/en/authors/he-he/) - [Hexiang Hu](https://md.research.elamur.ai/free/en/authors/hexiang-hu/) - [Iulia Turc](https://md.research.elamur.ai/free/en/authors/iulia-turc/) - [Julian Eisenschlos](https://md.research.elamur.ai/free/en/authors/julian-eisenschlos/) - [Kenton Lee](https://md.research.elamur.ai/free/en/authors/kenton-lee/) - [Kevin Clark](https://md.research.elamur.ai/free/en/authors/kevin-clark/) - [Kristina Toutanova](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/) - [Mandar Joshi](https://md.research.elamur.ai/free/en/authors/mandar-joshi/) - [Ming-Wei Chang](https://md.research.elamur.ai/free/en/authors/ming-wei-chang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/), [ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/) - Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP - Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) - Proceedings of the National Academy of Sciences ## Cited by Papers of our library cite their works 4,013 times (of the 149,439 papers whose bibliographies we read); [851 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/urvashi-khandelwal/cited-by/). Updated 2 November 2026