Using self-directed learning communities to bridge the digital divide. - Kevin Clark (Br. J. Educ. Technol., 2003)

Effect of visual cues on human performance in navigating through a virtual maze. - Deepak Vembar; Nikhil Iyengar; Andrew T. Duchowski; Kevin Clark; Jason Hewitt; Keith Pauls (EGVE, 2004)

Strata-Gem: risk assessment through mission modeling. - Kevin Clark; Ethan Singleton; Stephen Tyree; John Hale (QoP, 2008)

RevMiner: an extractive interface for navigating reviews on a smartphone. - Jeff Huang 002; Oren Etzioni; Luke Zettlemoyer; Kevin Clark; Christian Lee (UIST, 2012)

Entity-Centric Coreference Resolution with Model Stacking. - Kevin Clark; Christopher D. Manning (ACL (1), 2015)

Improving Coreference Resolution by Learning Entity-Level Distributed Representations. - Kevin Clark; Christopher D. Manning (ACL (1), 2016)

Deep Reinforcement Learning for Mention-Ranking Coreference Models. - Kevin Clark; Christopher D. Manning (EMNLP, 2016)

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. - William L. Hamilton; Kevin Clark; Jure Leskovec; Dan Jurafsky (EMNLP, 2016)

Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations. - Tim Althoff; Kevin Clark; Jure Leskovec (CoRR, 2016)

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. - Tim Althoff; Kevin Clark; Jure Leskovec (Trans. Assoc. Comput. Linguistics, 2016)

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. - Mohamed Al-Badrashiny; Jason Bolton; Arun Tejasvi Chaganty; Kevin Clark; Craig Harman; Lifu Huang; Matthew Lamm; Jinhao Lei; Di Lu 003; Xiaoman Pan; Ashwin Paranjape; Ellie Pavlick; et al. (TAC, 2017)

Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. - Arun Tejasvi Chaganty; Ashwin Paranjape; Jason Bolton; Matthew Lamm; Jinhao Lei; Abigail See; Kevin Clark; Yuhao Zhang 004; Peng Qi 003; Christopher D. Manning (TAC, 2017)

Semi-Supervised Sequence Modeling with Cross-View Training. - Kevin Clark; Minh-Thang Luong; Christopher D. Manning; Quoc V. Le (EMNLP, 2018)

Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments. - Sean Simmons 004; Kevin Clark; Alireza Tavakkoli; Donald Loffredo (ISVC, 2018)

Deep learning and color variability in breast cancer histopathological images: a preliminary study. - Gobert N. Lee; Mariusz Bajger; Kevin Clark (IWBI, 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)

Culture-Centered Design Enabled by Machine Learning and Digital Transformation. - Kevin Clark; Kazuhiko Yamazaki (IHSI, 2019)

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

Pre-Training Transformers as Energy-Based Cloze Models. - Kevin Clark; Minh-Thang Luong; Quoc V. Le; Christopher D. Manning (EMNLP (1), 2020)

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. - Kevin Clark; Minh-Thang Luong; Quoc V. Le; Christopher D. Manning (ICLR, 2020)

Designing Presence. - Kevin Clark; Kazuhiko Yamazaki (IHIET (Lausanne), 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)

Designing from the Inside Out. - Kevin Clark; Stacey Baer; Todd Hoskins; James Kwolyk; Kazuhiko Yamazaki (AHFE (2), 2021)

Efficient and scalable transfer learning for natural language processing. - Kevin Clark (2021)

Meta-Learning Fast Weight Language Models. - Kevin Clark; Kelvin Guu; Ming-Wei Chang; Panupong Pasupat; Geoffrey E. Hinton; Mohammad Norouzi 002 (EMNLP, 2022)

Co-Design with People Who Have Had a Stroke to Better Understand the Transition from Hospital to Home: A Narrative Account. - Bernd Ploderer; Jennifer Muller; Matthew Busato; Amina Tariq; Kevin Clark; Theresa L. Green (OZCHI, 2022)

nuReality: A VR environment for research of pedestrian and autonomous vehicle interactions. - Paul Schmitt; Nicholas Britten; Jihyun Jeong; Amelia Coffey; Kevin Clark; Shweta Sunil Kothawade; Elena Corina Grigore; Adam Khaw; Christopher Konopka; Linh Pham; Kim Ryan; Christopher Schmitt; et al. (CoRR, 2022)

Can Cars Gesture? A Case for Expressive Behavior Within Autonomous Vehicle and Pedestrian Interactions. - Paul Schmitt; Nicholas Britten; Jihyun Jeong; Amelia Coffey; Kevin Clark; Shweta Sunil Kothawade; Elena Corina Grigore; Adam Khaw; Christopher Konopka; Linh Pham; Kim Ryan; Christopher Schmitt; et al. (IEEE Robotics Autom. Lett., 2022)

Text-to-Image Diffusion Models are Zero Shot Classifiers. - Kevin Clark; Priyank Jaini (NeurIPS, 2023)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Directly Fine-Tuning Diffusion Models on Differentiable Rewards. - Kevin Clark; Paul Vicol; Kevin Swersky; David J. Fleet (ICLR, 2024)

Intriguing Properties of Generative Classifiers. - Priyank Jaini; Kevin Clark; Robert Geirhos (ICLR, 2024)