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 (IGARSS, 2012)

Programming by Demonstration with Situated Semantic Parsing. - Yoav Artzi; Maxwell Forbes; Kenton Lee; Maya Cakmak (AAAI Fall Symposia, 2014)

Context-dependent Semantic Parsing for Time Expressions. - Kenton Lee; Yoav Artzi; Jesse Dodge; Luke Zettlemoyer (ACL (1), 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)

Landsat 8 Operational Land Imager On-Orbit Geometric Calibration and Performance. - James C. Storey; Michael J. Choate; Kenton Lee (Remote. Sens., 2014)

Broad-coverage CCG Semantic Parsing with AMR. - Yoav Artzi; Kenton Lee; Luke Zettlemoyer (EMNLP, 2015)

Event Detection and Factuality Assessment with Non-Expert Supervision. - Kenton Lee; Yoav Artzi; Yejin Choi 001; Luke Zettlemoyer (EMNLP, 2015)

Global Neural CCG Parsing with Optimality Guarantees. - Kenton Lee; Mike Lewis; Luke Zettlemoyer (EMNLP, 2016)

LSTM CCG Parsing. - Mike Lewis; Kenton Lee; Luke Zettlemoyer (HLT-NAACL, 2016)

Learning Recurrent Span Representations for Extractive Question Answering. - Kenton Lee; Tom Kwiatkowski; Ankur P. Parikh; Dipanjan Das 001 (CoRR, 2016)

Deep Semantic Role Labeling: What Works and What's Next. - Luheng He; Kenton Lee; Mike Lewis; Luke Zettlemoyer (ACL (1), 2017)

End-to-end Neural Coreference Resolution. - Kenton Lee; Luheng He; Mike Lewis; Luke Zettlemoyer (EMNLP, 2017)

Recurrent Additive Networks. - Kenton Lee; Omer Levy; Luke Zettlemoyer (CoRR, 2017)

Span-based Neural Structured Prediction. - Kenton Lee (2017)

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling. - Luheng He; Kenton Lee; Omer Levy; Luke Zettlemoyer (ACL (2), 2018)

Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. - Omer Levy; Kenton Lee; Nicholas FitzGerald; Luke Zettlemoyer (ACL (2), 2018)

Syntactic Scaffolds for Semantic Structures. - Swabha Swayamdipta; Sam Thomson; Kenton Lee; Luke Zettlemoyer; Chris Dyer; Noah A. Smith (EMNLP, 2018)

Higher-Order Coreference Resolution with Coarse-to-Fine Inference. - Kenton Lee; Luheng He; Luke Zettlemoyer (NAACL-HLT (2), 2018)

Deep Contextualized Word Representations. - Matthew E. Peters; Mark Neumann; Mohit Iyyer; Matt Gardner 001; Christopher Clark; Kenton Lee; Luke Zettlemoyer (NAACL-HLT, 2018)

Improving Span-based Question Answering Systems with Coarsely Labeled Data. - Hao Cheng 002; Ming-Wei Chang; Kenton Lee; Ankur P. Parikh; Michael Collins 001; Kristina Toutanova (CoRR, 2018)

Latent Retrieval for Weakly Supervised Open Domain Question Answering. - Kenton Lee; Ming-Wei Chang; Kristina Toutanova (ACL (1), 2019)

Zero-Shot Entity Linking by Reading Entity Descriptions. - Lajanugen Logeswaran; Ming-Wei Chang; Kenton Lee; Kristina Toutanova; Jacob Devlin; Honglak Lee (ACL (1), 2019)

Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension. - Daniel Andor; Luheng He; Kenton Lee; Emily Pitler (EMNLP/IJCNLP (1), 2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. - Christopher Clark; Kenton Lee; Ming-Wei Chang; Tom Kwiatkowski; Michael Collins 001; Kristina Toutanova (NAACL-HLT (1), 2019)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. - Jacob Devlin; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (NAACL-HLT (1), 2019)

A BERT Baseline for the Natural Questions. - Chris Alberti; Kenton Lee; Michael Collins 001 (CoRR, 2019)

Language Model Pre-training for Hierarchical Document Representations. - Ming-Wei Chang; Kristina Toutanova; Kenton Lee; Jacob Devlin (CoRR, 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)

Natural Questions: a Benchmark for Question Answering Research. - Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins 001; Ankur P. Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; et al. (Trans. Assoc. Comput. Linguistics, 2019)

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. - Hao Cheng 002; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (ACL, 2020)

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. - Alane Suhr; Ming-Wei Chang; Peter Shaw 004; Kenton Lee (ACL, 2020)

CapWAP: Image Captioning with a Purpose. - Adam Fisch; Kenton Lee; Ming-Wei Chang; Jonathan H. Clark; Regina Barzilay (EMNLP (1), 2020)

High Performance Natural Language Processing. - Gabriel Ilharco; Cesar Ilharco; Iulia Turc; Tim Dettmers; Felipe Ferreira; Kenton Lee (EMNLP (Tutorial Abstracts), 2020)

Retrieval Augmented Language Model Pre-Training. - Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang (ICML, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

REALM: Retrieval-Augmented Language Model Pre-Training. - Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang (CoRR, 2020)

Contextualized Representations Using Textual Encyclopedic Knowledge. - Mandar Joshi; Kenton Lee; Yi Luan; Kristina Toutanova (CoRR, 2020)

CapWAP: Captioning with a Purpose. - Adam Fisch; Kenton Lee; Ming-Wei Chang; Jonathan H. Clark; Regina Barzilay (CoRR, 2020)

Joint Passage Ranking for Diverse Multi-Answer Retrieval. - Sewon Min; Kenton Lee; Ming-Wei Chang; Kristina Toutanova; Hannaneh Hajishirzi (EMNLP (1), 2021)

XOR QA: Cross-lingual Open-Retrieval Question Answering. - Akari Asai; Jungo Kasai; Jonathan H. Clark; Kenton Lee; Eunsol Choi; Hannaneh Hajishirzi (NAACL-HLT, 2021)

Neural Data Augmentation via Example Extrapolation. - Kenton Lee; Kelvin Guu; Luheng He; Tim Dozat; Hyung Won Chung (CoRR, 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)

Entity-Centric Query Refinement. - David Wadden; Nikita Gupta; Kenton Lee; Kristina Toutanova (AKBC, 2022)

Generating recommendations for entity-oriented exploratory search. - David Wadden; Nikita Gupta; Kenton Lee; Kristina Toutanova (CoRR, 2022)

DePlot: One-shot visual language reasoning by plot-to-table translation. - Fangyu Liu 001; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Wenhu Chen; Nigel Collier; Yasemin Altun (ACL (Findings), 2023)

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. - Fangyu Liu 001; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Yasemin Altun; Nigel Collier; Julian Martin Eisenschlos (ACL (1), 2023)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. - Chaitanya Malaviya; Peter Shaw 004; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (ACL (1), 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 (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)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. - Tao Lei; Junwen Bai; Siddhartha Brahma; Joshua Ainslie; Kenton Lee; Yanqi Zhou; Nan Du 002; Vincent Y. Zhao; Yuexin Wu; Bo Li 028; Yu Zhang 033; Ming-Wei Chang (NeurIPS, 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)

Anchor Prediction: Automatic Refinement of Internet Links. - Nelson F. Liu; Kenton Lee; Kristina Toutanova (CoRR, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. - Kai Zhang 033; Yi Luan; Hexiang Hu; Kenton Lee; Siyuan Qiao; Wenhu Chen; Yu Su 001; Ming-Wei Chang (ICML, 2024)

BAGEL: Bootstrapping Agents by Guiding Exploration with Language. - Shikhar Murty; Christopher D. Manning; Peter Shaw 004; Mandar Joshi; Kenton Lee (ICML, 2024)

ALTA: Compiler-Based Analysis of Transformers. - Peter Shaw 004; James Cohan; Jacob Eisenstein; Kenton Lee; Jonathan Berant; Kristina Toutanova (Trans. Mach. Learn. Res., 2025)