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Urvashi Khandelwal
Urvashi Khandelwal
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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
16732019
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
8702014
Generalization through memorization: Nearest neighbor language models
U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis
International Conference on Learning Representations (ICLR), 2020
6822020
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
3702018
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
3402020
Nearest neighbor machine translation
U Khandelwal, A Fan, D Jurafsky, L Zettlemoyer, M Lewis
International Conference on Learning Representations (ICLR), 2021
2712021
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
2342013
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
2162019
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
1662014
Pix2struct: Screenshot parsing as pretraining for visual language understanding
K Lee, M Joshi, IR Turc, H Hu, F Liu, JM Eisenschlos, U Khandelwal, ...
International Conference on Machine Learning, 18893-18912, 2023
1492023
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
1062020
Sample efficient text summarization using a single pre-trained transformer
U Khandelwal, K Clark, D Jurafsky, L Kaiser
arXiv preprint arXiv:1905.08836, 2019
972019
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, ...
Advances in Neural Information Processing Systems 36, 34354-34370, 2023
382023
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, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
282023
Neural text summarization
U Khandelwal, P Qi, D Jurafsky
Stanford University, Stanford, CA, USA 92, 4701, 2016
52016
Few-Shot Recalibration of Language Models
XL Li, U Khandelwal, K Guu
arXiv preprint arXiv:2403.18286, 2024
22024
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
Calibrated on Average, but not Within Each Slice: Few-shot Calibration for All Slices of a Distribution
XL Li, U Khandelwal, K Guu
Supplementary Material for 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, ...
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