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ORCIDUrvashi Khandelwal
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2020 – today
- 2024
[i11]Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu:
Few-Shot Recalibration of Language Models. CoRR abs/2403.18286 (2024)- 2023
- [c12]Hexiang Hu
, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang:
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV 2023: 12031-12041 - [c11]Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. ICML 2023: 18893-18912 - [c10]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. NeurIPS 2023 - [i10]Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang:
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. CoRR abs/2302.11154 (2023) - [i9]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. CoRR abs/2306.00245 (2023) - 2022
- [i8]Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. CoRR abs/2210.03347 (2022) - 2021
- [b1]Urvashi Khandelwal:
Improving neural language models with black-box analysis and generalization through memorization. Stanford University, USA, 2021 - [c9]Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Nearest Neighbor Machine Translation. ICLR 2021 - 2020
- [j1]Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy:
Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA 117(48): 30046-30054 (2020) - [c8]Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky:
With Little Power Comes Great Responsibility. EMNLP (1) 2020: 9263-9274 - [c7]Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. ICLR 2020 - [i7]Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Nearest Neighbor Machine Translation. CoRR abs/2010.00710 (2020) - [i6]Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky:
With Little Power Comes Great Responsibility. CoRR abs/2010.06595 (2020)
2010 – 2019
- 2019
- [c6]Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le:
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. ACL (1) 2019: 5931-5937 - [c5]Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning:
What Does BERT Look at? An Analysis of BERT's Attention. BlackboxNLP@ACL 2019: 276-286 - [i5]Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser:
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer. CoRR abs/1905.08836 (2019) - [i4]Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning:
What Does BERT Look At? An Analysis of BERT's Attention. CoRR abs/1906.04341 (2019) - [i3]Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le:
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. CoRR abs/1907.04829 (2019) - [i2]Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Generalization through Memorization: Nearest Neighbor Language Models. CoRR abs/1911.00172 (2019) - 2018
- [c4]Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. ACL (1) 2018: 284-294 - [i1]Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. CoRR abs/1805.04623 (2018) - 2014
- [c3]Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han:
ClusCite: effective citation recommendation by information network-based clustering. KDD 2014: 821-830 - [c2]Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han:
Personalized entity recommendation: a heterogeneous information network approach. WSDM 2014: 283-292 - 2013
- [c1]Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han:
Recommendation in heterogeneous information networks with implicit user feedback. RecSys 2013: 347-350
Coauthor Index
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