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Urvashi Khandelwal
Urvashi Khandelwal
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Cited by
Year
What does bert look at? an analysis of bert's attention
K Clark, U Khandelwal, O Levy, CD Manning
Proceedings of the Second BlackboxNLP Workshop on Analyzing and Interpreting …, 2019
12082019
Personalized entity recommendation: A heterogeneous information network approach
X Yu, X Ren, Y Sun, Q Gu, B Sturt, U Khandelwal, B Norick, J Han
Proceedings of the 7th ACM international conference on Web search and data …, 2014
7472014
Generalization through memorization: Nearest neighbor language models
U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis
International Conference on Learning Representations (ICLR), 2020
3592020
Sharp nearby, fuzzy far away: How neural language models use context
U Khandelwal, H He, P Qi, D Jurafsky
Proceedings to the 56th Annual Meeting of the Association for Computational …, 2018
2832018
Emergent linguistic structure in artificial neural networks trained by self-supervision
CD Manning, K Clark, J Hewitt, U Khandelwal, O Levy
Proceedings of the National Academy of Sciences 117 (48), 30046-30054, 2020
2072020
Recommendation in heterogeneous information networks with implicit user feedback
X Yu, X Ren, Y Sun, B Sturt, U Khandelwal, Q Gu, B Norick, J Han
Proceedings of the 7th ACM conference on Recommender systems, 347-350, 2013
1932013
Bam! born-again multi-task networks for natural language understanding
K Clark, MT Luong, U Khandelwal, CD Manning, QV Le
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1822019
Nearest neighbor machine translation
U Khandelwal, A Fan, D Jurafsky, L Zettlemoyer, M Lewis
International Conference on Learning Representations (ICLR), 2021
1582021
Cluscite: Effective citation recommendation by information network-based clustering
X Ren, J Liu, X Yu, U Khandelwal, Q Gu, L Wang, J Han
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1492014
With little power comes great responsibility
D Card, P Henderson, U Khandelwal, R Jia, K Mahowald, D Jurafsky
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
782020
Sample efficient text summarization using a single pre-trained transformer
U Khandelwal, K Clark, D Jurafsky, L Kaiser
arXiv preprint arXiv:1905.08836, 2019
702019
Pix2Struct: Screenshot parsing as pretraining for visual language understanding
K Lee, M Joshi, I Turc, H Hu, F Liu, J Eisenschlos, U Khandelwal, P Shaw, ...
arXiv preprint arXiv:2210.03347, 2022
152022
Neural text summarization
U Khandelwal, P Qi, D Jurafsky
Stanford University, Stanford, CA, USA, 2016
42016
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
H Hu, Y Luan, Y Chen, U Khandelwal, M Joshi, K Lee, K Toutanova, ...
arXiv preprint arXiv:2302.11154, 2023
12023
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
P Shaw, M Joshi, J Cohan, J Berant, P Pasupat, H Hu, U Khandelwal, ...
arXiv preprint arXiv:2306.00245, 2023
2023
Open-domain Visual Entity Linking
H Hu, Y Luan, U Khandelwal, M Joshi, K Lee, K Toutanova, MW Chang
2023
Improving Neural Language Models with Black-Box Analysis and Generalization Through Memorization
U Khandelwal
Stanford University, 2021
2021
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
A Bosselut, A Celikyilmaz, M Ghazvininejad, S Iyer, U Khandelwal, ...
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural …, 2019
2019
Highlights: A Review Analysis Tool
U Khandelwal
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Articles 1–19