Recommendation in heterogeneous information networks with implicit user feedback. - Xiao Yu 007; Xiang Ren 001; Yizhou Sun; Bradley Sturt; Urvashi Khandelwal; Quanquan Gu; Brandon Norick; Jiawei Han 001 (RecSys, 2013)

ClusCite: effective citation recommendation by information network-based clustering. - Xiang Ren 001; Jialu Liu; Xiao Yu 007; Urvashi Khandelwal; Quanquan Gu; Lidan Wang; Jiawei Han 001 (KDD, 2014)

Personalized entity recommendation: a heterogeneous information network approach. - Xiao Yu 007; Xiang Ren 001; Yizhou Sun; Quanquan Gu; Bradley Sturt; Urvashi Khandelwal; Brandon Norick; Jiawei Han 001 (WSDM, 2014)

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. - Urvashi Khandelwal; He He 001; Peng Qi 003; Dan Jurafsky (ACL (1), 2018)

BAM! Born-Again Multi-Task Networks for Natural Language Understanding. - Kevin Clark; Minh-Thang Luong; Urvashi Khandelwal; Christopher D. Manning; Quoc V. Le (ACL (1), 2019)

What Does BERT Look at? An Analysis of BERT's Attention. - Kevin Clark; Urvashi Khandelwal; Omer Levy; Christopher D. Manning (BlackboxNLP@ACL, 2019)

Sample Efficient Text Summarization Using a Single Pre-Trained Transformer. - Urvashi Khandelwal; Kevin Clark; Dan Jurafsky; Lukasz Kaiser (CoRR, 2019)

With Little Power Comes Great Responsibility. - Dallas Card; Peter Henderson 002; Urvashi Khandelwal; Robin Jia; Kyle Mahowald; Dan Jurafsky (EMNLP (1), 2020)

Generalization through Memorization: Nearest Neighbor Language Models. - Urvashi Khandelwal; Omer Levy; Dan Jurafsky; Luke Zettlemoyer; Mike Lewis (ICLR, 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)

Nearest Neighbor Machine Translation. - Urvashi Khandelwal; Angela Fan; Dan Jurafsky; Luke Zettlemoyer; Mike Lewis (ICLR, 2021)

Improving neural language models with black-box analysis and generalization through memorization. - Urvashi Khandelwal (2021)

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 (ICCV, 2023)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Kenton Lee; Mandar Joshi; Iulia Raluca Turc; Hexiang Hu; Fangyu Liu 001; Julian Martin Eisenschlos; Urvashi Khandelwal; Peter Shaw 004; Ming-Wei Chang; Kristina Toutanova (ICML, 2023)

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. - Peter Shaw 004; Mandar Joshi; James Cohan; Jonathan Berant; Panupong Pasupat; Hexiang Hu; Urvashi Khandelwal; Kenton Lee; Kristina Toutanova (NeurIPS, 2023)

Few-Shot Recalibration of Language Models. - Xiang Lisa Li; Urvashi Khandelwal; Kelvin Guu (CoRR, 2024)