Kenton Lee

According to our database, Kenton Lee authored at least 54 papers between 2012 and 2024.

Collaborative distances:

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

2024

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions.

Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang

CoRR, 2024

BAGEL: Bootstrapping Agents by Guiding Exploration with Language.

Shikhar Murty, Christopher D. Manning, Peter Shaw, Mandar Joshi, Kenton Lee

CoRR, 2024

2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2023

Anchor Prediction: Automatic Refinement of Internet Links.

Nelson F. Liu, Kenton Lee, Kristina Toutanova

CoRR, 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

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference.

Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

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

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations.

Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering.

Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DePlot: One-shot visual language reasoning by plot-to-table translation.

Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Generating recommendations for entity-oriented exploratory search.

David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova

CoRR, 2022

2021

Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer.

Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova

CoRR, 2021

Neural Data Augmentation via Example Extrapolation.

Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung

CoRR, 2021

XOR QA: Cross-lingual Open-Retrieval Question Answering.

Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Joint Passage Ranking for Diverse Multi-Answer Retrieval.

Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

CapWAP: Captioning with a Purpose.

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay

CoRR, 2020

Contextualized Representations Using Textual Encyclopedic Knowledge.

Mandar Joshi, Kenton Lee, Yi Luan, Kristina Toutanova

CoRR, 2020

REALM: Retrieval-Augmented Language Model Pre-Training.

Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Retrieval Augmented Language Model Pre-Training.

Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang

Proceedings of the 37th International Conference on Machine Learning, 2020

High Performance Natural Language Processing.

Gabriel Ilharco, Cesar Ilharco, Iulia Turc, Tim Dettmers, Felipe Ferreira, Kenton Lee

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

CapWAP: Image Captioning with a Purpose.

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay

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

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing.

Alane Suhr, Ming-Wei Chang, Peter Shaw, Kenton Lee

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.

Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Natural Questions: a Benchmark for Question Answering Research.

Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov

Trans. Assoc. Comput. Linguistics, 2019

Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation.

Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

CoRR, 2019

Language Model Pre-training for Hierarchical Document Representations.

Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin

CoRR, 2019

A BERT Baseline for the Natural Questions.

Chris Alberti, Kenton Lee, Michael Collins

CoRR, 2019

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension.

Daniel Andor, Luheng He, Kenton Lee, Emily Pitler

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Zero-Shot Entity Linking by Reading Entity Descriptions.

Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee

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

Latent Retrieval for Weakly Supervised Open Domain Question Answering.

Kenton Lee, Ming-Wei Chang, Kristina Toutanova

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

2018

Improving Span-based Question Answering Systems with Coarsely Labeled Data.

Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova

CoRR, 2018

Deep Contextualized Word Representations.

Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Higher-Order Coreference Resolution with Coarse-to-Fine Inference.

Kenton Lee, Luheng He, Luke Zettlemoyer

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Syntactic Scaffolds for Semantic Structures.

Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum.

Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer

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

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling.

Luheng He, Kenton Lee, Omer Levy, Luke Zettlemoyer

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

2017

Span-based Neural Structured Prediction.

Kenton Lee

PhD thesis, 2017

Recurrent Additive Networks.

Kenton Lee, Omer Levy, Luke Zettlemoyer

CoRR, 2017

End-to-end Neural Coreference Resolution.

Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Deep Semantic Role Labeling: What Works and What's Next.

Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Learning Recurrent Span Representations for Extractive Question Answering.

Kenton Lee, Tom Kwiatkowski, Ankur P. Parikh, Dipanjan Das

CoRR, 2016

LSTM CCG Parsing.

Mike Lewis, Kenton Lee, Luke Zettlemoyer

Proceedings of the NAACL HLT 2016, 2016

Global Neural CCG Parsing with Optimality Guarantees.

Kenton Lee, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Event Detection and Factuality Assessment with Non-Expert Supervision.

Kenton Lee, Yoav Artzi, Yejin Choi, Luke Zettlemoyer

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Broad-coverage CCG Semantic Parsing with AMR.

Yoav Artzi, Kenton Lee, Luke Zettlemoyer

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Landsat 8 Operational Land Imager On-Orbit Geometric Calibration and Performance.

James C. Storey, Michael J. Choate, Kenton Lee

Remote. Sens., 2014

The Spectral Response of the Landsat-8 Operational Land Imager.

Julia A. Barsi, Kenton Lee, Geir Kvaran, Brian L. Markham, Jeffrey A. Pedelty

Remote. Sens., 2014

Context-dependent Semantic Parsing for Time Expressions.

Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Programming by Demonstration with Situated Semantic Parsing.

Yoav Artzi, Maxwell Forbes, Kenton Lee, Maya Cakmak

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2012

The Landsat Data Continuity Mission Operational Land Imager (OLI) sensor.

Brian L. Markham, Edward J. Knight, Brent Canova, Eric Donley, Geir Kvaran, Kenton Lee, Julia A. Barsi, Jeffrey A. Pedelty, Philip W. Dabney, James R. Irons

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012