Urvashi Khandelwal

According to our database, Urvashi Khandelwal authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Few-Shot Recalibration of Language Models.

Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu

CoRR, 2024

2023

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces.

Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding.

Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova

Proceedings of the International Conference on Machine Learning, 2023

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities.

Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Improving neural language models with black-box analysis and generalization through memorization.

Urvashi Khandelwal

PhD thesis, 2021

Nearest Neighbor Machine Translation.

Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Emergent linguistic structure in artificial neural networks trained by self-supervision.

Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy

Proc. Natl. Acad. Sci. USA, 2020

Generalization through Memorization: Nearest Neighbor Language Models.

Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

Proceedings of the 8th International Conference on Learning Representations, 2020

With Little Power Comes Great Responsibility.

Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Sample Efficient Text Summarization Using a Single Pre-Trained Transformer.

Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser

CoRR, 2019

What Does BERT Look at? An Analysis of BERT's Attention.

Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

BAM! Born-Again Multi-Task Networks for Natural Language Understanding.

Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.

Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2014

Personalized entity recommendation: a heterogeneous information network approach.

Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

ClusCite: effective citation recommendation by information network-based clustering.

Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Recommendation in heterogeneous information networks with implicit user feedback.

Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013