Electra: Pre-training text encoders as discriminators rather than generators K Clark arXiv preprint arXiv:2003.10555, 2020 | 4268 | 2020 |
What Does Bert Look At? An Analysis of Bert’s Attention K Clark arXiv preprint arXiv:1906.04341, 2019 | 1775 | 2019 |
Deep reinforcement learning for mention-ranking coreference models K Clark, CD Manning arXiv preprint arXiv:1609.08667, 2016 | 508 | 2016 |
Towards expert-level medical question answering with large language models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv:2305.09617, 2023 | 503 | 2023 |
Improving coreference resolution by learning entity-level distributed representations K Clark, CD Manning arXiv preprint arXiv:1606.01323, 2016 | 451 | 2016 |
Semi-Supervised Sequence Modeling with Cross-View Training K Clark, MT Luong, CD Manning, QV Le arXiv preprint arXiv:1809.08370, 2018 | 449 | 2018 |
Inducing domain-specific sentiment lexicons from unlabeled corpora WL Hamilton, K Clark, J Leskovec, D Jurafsky Proceedings of the conference on empirical methods in natural language …, 2016 | 443 | 2016 |
Emergent linguistic structure in artificial neural networks trained by self-supervision CD Manning, K Clark, J Hewitt, U Khandelwal, O Levy Proceedings of the National Academy of Sciences 117 (48), 30046-30054, 2020 | 370 | 2020 |
Large-scale analysis of counseling conversations: An application of natural language processing to mental health T Althoff, K Clark, J Leskovec Transactions of the Association for Computational Linguistics 4, 463-476, 2016 | 346 | 2016 |
Entity-centric coreference resolution with model stacking K Clark, CD Manning Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 262 | 2015 |
Bam! born-again multi-task networks for natural language understanding K Clark, MT Luong, U Khandelwal, CD Manning, QV Le arXiv preprint arXiv:1907.04829, 2019 | 229 | 2019 |
Sample efficient text summarization using a single pre-trained transformer U Khandelwal, K Clark, D Jurafsky, L Kaiser arXiv preprint arXiv:1905.08836, 2019 | 104 | 2019 |
Pre-training transformers as energy-based cloze models K Clark, MT Luong, QV Le, CD Manning arXiv preprint arXiv:2012.08561, 2020 | 84 | 2020 |
Text-to-image diffusion models are zero shot classifiers K Clark, P Jaini Advances in Neural Information Processing Systems 36, 2024 | 70 | 2024 |
Revminer: An extractive interface for navigating reviews on a smartphone J Huang, O Etzioni, L Zettlemoyer, K Clark, C Lee Proceedings of the 25th annual ACM symposium on User interface software and …, 2012 | 70 | 2012 |
Directly fine-tuning diffusion models on differentiable rewards K Clark, P Vicol, K Swersky, DJ Fleet arXiv preprint arXiv:2309.17400, 2023 | 60 | 2023 |
Intriguing properties of generative classifiers P Jaini, K Clark, R Geirhos arXiv preprint arXiv:2309.16779, 2023 | 24 | 2023 |
Meta-learning fast weight language models K Clark, K Guu, MW Chang, P Pasupat, G Hinton, M Norouzi arXiv preprint arXiv:2212.02475, 2022 | 8 | 2022 |
Contrastive pre-training for language tasks TM Luong, QV Le, KS Clark US Patent 11,449,684, 2022 | 7 | 2022 |
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. AT Chaganty, A Paranjape, J Bolton, M Lamm, J Lei, A See, K Clark, ... TAC, 2017 | 7 | 2017 |