| Deep contextualized word representations. NAACL-HLT ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ... arXiv, 2018 | 15981* | 2018 |
| BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions C Clark, K Lee, MW Chang, T Kwiatkowski, M Collins, K Toutanova arXiv preprint arXiv:1905.10044, 2019 | 1021 | 2019 |
| Simple and effective multi-paragraph reading comprehension C Clark, M Gardner arXiv preprint arXiv:1710.10723, 2017 | 516 | 2017 |
| Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases C Clark, M Yatskar, L Zettlemoyer arXiv preprint arXiv:1909.03683, 2019 | 492 | 2019 |
| Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks J Lu, C Clark, R Zellers, R Mottaghi, A Kembhavi arXiv preprint arXiv:2206.08916, 2022 | 350 | 2022 |
| A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge D Schwenk, A Khandelwal, C Clark, K Marino, R Mottaghi arXiv preprint arXiv:2206.01718, 2022 | 293 | 2022 |
| Training deep convolutional neural networks to play go C Clark, A Storkey International conference on machine learning, 1766-1774, 2015 | 259 | 2015 |
| Pdffigures 2.0: Mining figures from research papers C Clark, S Divvala 2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL), 143-152, 2016 | 149 | 2016 |
| Looking beyond text: Extracting figures, tables and captions from computer science papers CA Clark, S Divvala Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 100 | 2015 |
| Unified-io 2: Scaling autoregressive multimodal models with vision, language, audio, and action J Lu, C Clark, S Lee, Z Zhang, S Khosla, R Marten, D Hoiem, A Kembhavi arXiv preprint arXiv:2312.17172, 2023 | 59 | 2023 |
| Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles C Clark, M Yatskar, L Zettlemoyer arXiv preprint arXiv:2011.03856, 2020 | 58 | 2020 |
| Webly Supervised Concept Expansion for General Purpose Vision Models A Kamath, C Clark, T Gupta, E Kolve, D Hoiem, A Kembhavi arXiv preprint arXiv:2202.02317, 2022 | 54 | 2022 |
| IKE-an interactive tool for knowledge extraction B Dalvi, S Bhakthavatsalam, C Clark, P Clark, O Etzioni, A Fader, ... Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 12-17, 2016 | 33 | 2016 |
| I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision S Gu, C Clark, A Kembhavi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 32 | 2023 |
| Holodeck: Language Guided Generation of 3D Embodied AI Environments Y Yang, FY Sun, L Weihs, E VanderBilt, A Herrasti, W Han, J Wu, N Haber, ... The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2024 | 21 | 2024 |
| System and methods for performing NLP related tasks using contextualized word representations ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ... US Patent 11,030,414, 2021 | 17 | 2021 |
| Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text C Clark, J Salvador, D Schwenk, D Bonafilia, M Yatskar, E Kolve, ... arXiv preprint arXiv:2112.00800, 2021 | 4 | 2021 |
| Exposing and addressing cross-task inconsistency in unified vision-language models A Maharana, A Kamath, C Clark, M Bansal, A Kembhavi arXiv preprint arXiv:2303.16133, 2023 | 2 | 2023 |
| Training Models to Ignore Dataset Bias CA Clark | | 2020 |
