Kevin Clark

I am currently taking a break from research for a year to travel! I worked at Google DeepMind Toronto during 2022 and 2023; before then I obtained my PhD from Stanford's Natural Language Processing Group advised by Chris Manning.

Email: kevclark(at)cs.stanford.edu
[(often out-of-date) CV] [github]

Publications

• Directly Fine-Tuning Diffusion Models on Differentiable Rewards
  Kevin Clark, Paul Vicol, Kevin Swersky, and David J Fleet
  International Conference on Learning Representations (ICLR), 2024.
  [paper]
• Intriguing Properties of Generative Classifiers
  Priyank Jaini, Kevin Clark, and Robert Geirhos
  International Conference on Learning Representations (ICLR), 2024.
  [paper]
• Text-to-Image Diffusion Models are Zero-Shot Classifiers
  Kevin Clark and Priyank Jaini
  Neural Information Porcessing Systems (NeurIPS), 2023.
  [paper]
• Towards Expert-Level Medical Question Answering with Large Language Models
  Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Aguera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle Barral, Dale Webster, Greg S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, and Vivek Natarajan
  Nature Medicine, 2023.
  [paper]
• Meta-Learning Fast Weight Language Models
  Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey Hinton, and Mohammad Norouzi
  Empirical Methods in Natural Language Processing (EMNLP), 2022.
  [paper] [code]
• Pre-Training Transformers as Energy-Based Cloze Models
  Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning.
  Empirical Methods in Natural Language Processing (EMNLP), 2020.
  [paper] [code]
• Emergent linguistic structure in artificial neural networks trained by self-supervision
  Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, and Omer Levy
  Proceedings of the National Academy of Sciences, 2020.
  [paper]
• ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
  Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning.
  International Conference on Learning Representations (ICLR), 2020.
  [paper] [code]
• What Does BERT Look At? An Analysis of BERT's Attention.
  Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D. Manning.
  BlackBoxNLP@ACL, 2019, Best Paper Award
  [paper] [code]
• BAM! Born-Again Multi-Task Networks for Natural Language Understanding.
  Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, and Quoc V. Le.
  Association for Computational Linguistics (ACL), 2019.
  [paper] [code]
• Semi-Supervised Sequence Modeling with Cross-View Training.
  Kevin Clark, Minh-Thang Luong, Christopher D. Manning, and Quoc V. Le.
  Empirical Methods in Natural Language Processing (EMNLP), 2018.
  [paper] [code]
• Deep Reinforcement Learning for Mention-Ranking Coreference Models.
  Kevin Clark and Christopher D. Manning.
  Empirical Methods in Natural Language Processing (EMNLP), 2016.
  [paper] [code]
• Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
  William L. Hamilton, Kevin Clark, Jure Leskovec, and Dan Jurafsky.
  Empirical Methods in Natural Language Processing (EMNLP), 2016.
  [paper] [project website (code + data)]
• Improving Coreference Resolution by Learning Entity-Level Distributed Representations.
  Kevin Clark and Christopher D. Manning.
  Association for Computational Linguistics (ACL), 2016.
  [paper] [code]
• Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health
  Tim Althoff, Kevin Clark, and Jure Leskovec.
  Transactions of the Association for Computational Linguistics (TACL), 2016.
  [paper] [project website] [dataset]
• Entity-Centric Coreference Resolution with Model Stacking.
  Kevin Clark and Christopher D. Manning.
  Association for Computational Linguistics (ACL), 2015.
  [paper] [code]
• RevMiner: an Extractive Interface for Navigating Reviews on a Smartphone.
  Jeff Huang, Oren Etzioni, Luke Zettlemoyer, Kevin Clark, and Christian Lee.
  User Interface Software and Technology (UIST), 2012.
  [paper]