Urvashi Khandelwal

25 papers A* 6A 2Journal 12Unranked 4

Year	Rank	Type	Title / 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