Urvashi Khandelwal

25 papers A* 6A 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Few-Shot Recalibration of Language Models.
CoRR
Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu
2023 A* conf
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces.
NeurIPS
Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova
2023 J jnl
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces.
CoRR
Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova
2023 A* conf
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities.
ICCV
Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang
2023 J jnl
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities.
CoRR
Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang
2023 A* conf
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding.
ICML
Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova
2022 J jnl
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding.
CoRR
Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova
2021 — —
Improving neural language models with black-box analysis and generalization through memorization.
Urvashi Khandelwal
2021 A* conf
Nearest Neighbor Machine Translation.
ICLR
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2020 J jnl
Emergent linguistic structure in artificial neural networks trained by self-supervision.
Proc. Natl. Acad. Sci. USA
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy
2020 A* conf
Generalization through Memorization: Nearest Neighbor Language Models.
ICLR
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2020 J jnl
Nearest Neighbor Machine Translation.
CoRR
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2020 — conf
With Little Power Comes Great Responsibility.
EMNLP (1)
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
2020 J jnl
With Little Power Comes Great Responsibility.
CoRR
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
2019 — conf
BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
ACL (1)
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
2019 J jnl
BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
CoRR
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le
2019 J jnl
Generalization through Memorization: Nearest Neighbor Language Models.
CoRR
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2019 J jnl
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer.
CoRR
Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser
2019 J jnl
What Does BERT Look At? An Analysis of BERT's Attention.
CoRR
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
2019 — conf
What Does BERT Look at? An Analysis of BERT's Attention.
BlackboxNLP@ACL
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
2018 — conf
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.
ACL (1)
Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky
2018 J jnl
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.
CoRR
Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky
2014 A* conf
ClusCite: effective citation recommendation by information network-based clustering.
KDD
Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han
2014 A conf
Personalized entity recommendation: a heterogeneous information network approach.
WSDM
Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han
2013 A conf
Recommendation in heterogeneous information networks with implicit user feedback.
RecSys
Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han