| GLUE: A multi-task benchmark and analysis platform for natural language understanding A Wang, A Singh, J Michael, F Hill, O Levy, SR Bowman Proceedings of ICLR, 2019 | 8052 | 2019 |
| Superglue: A stickier benchmark for general-purpose language understanding systems A Wang*, Y Pruksachatkun*, N Nangia*, A Singh*, J Michael, F Hill, ... arXiv preprint arXiv:1905.00537, 2019 | 2518 | 2019 |
| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1775 | 2023 |
| Neural Network Acceptability Judgments A Warstadt, A Singh, SR Bowman arXiv preprint arXiv:1805.12471, 2019 | 1506 | 2019 |
| Towards VQA Models That Can Read A Singh, V Natarajan, M Shah, Y Jiang, X Chen, D Batra, D Parikh, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 1122 | 2019 |
| Flava: A foundational language and vision alignment model A Singh, R Hu, V Goswami, G Couairon, W Galuba, M Rohrbach, D Kiela Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 739 | 2022 |
| The hateful memes challenge: Detecting hate speech in multimodal memes D Kiela, H Firooz, A Mohan, V Goswami, A Singh, P Ringshia, ... Advances in neural information processing systems 33, 2611-2624, 2020 | 668 | 2020 |
| Dynabench: Rethinking benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... arXiv preprint arXiv:2104.14337, 2021 | 431 | 2021 |
| Textcaps: a dataset for image captioning with reading comprehension O Sidorov, R Hu, M Rohrbach, A Singh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 426 | 2020 |
| Winoground: Probing vision and language models for visio-linguistic compositionality T Thrush, R Jiang, M Bartolo, A Singh, A Williams, D Kiela, C Ross Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 405 | 2022 |
| Unit: Multimodal multitask learning with a unified transformer R Hu, A Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 397 | 2021 |
| MMF: A multimodal framework for vision and language research A Singh, V Goswami, V Natarajan, Y Jiang, X Chen, M Shah, M Rohrbach, ... | 374* | 2020 |
| Learning when to communicate at scale in multiagent cooperative and competitive tasks A Singh, T Jain, S Sukhbaatar arXiv preprint arXiv:1812.09755, 2018 | 370 | 2018 |
| Obelics: An open web-scale filtered dataset of interleaved image-text documents H Laurençon, L Saulnier, L Tronchon, S Bekman, A Singh, A Lozhkov, ... Advances in Neural Information Processing Systems 36, 71683-71702, 2023 | 259 | 2023 |
| Iterative answer prediction with pointer-augmented multimodal transformers for textvqa R Hu, A Singh, T Darrell, M Rohrbach Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 243 | 2020 |
| Textocr: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text A Singh, G Pang, M Toh, J Huang, W Galuba, T Hassner Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 188 | 2021 |
| Learning dynamics model in reinforcement learning by incorporating the long term future NR Ke, A Singh, A Touati, A Goyal, Y Bengio, D Parikh, D Batra arXiv preprint arXiv:1903.01599, 2019 | 94* | 2019 |
| Generative representational instruction tuning N Muennighoff, SU Hongjin, L Wang, N Yang, F Wei, T Yu, A Singh, ... ICLR 2024 Workshop: How Far Are We From AGI, 2024 | 87 | 2024 |
| The hateful memes challenge: Competition report D Kiela, H Firooz, A Mohan, V Goswami, A Singh, CA Fitzpatrick, P Bull, ... NeurIPS 2020 Competition and Demonstration Track, 344-360, 2021 | 72 | 2021 |
| Seeing the un-scene: Learning amodal semantic maps for room navigation M Narasimhan, E Wijmans, X Chen, T Darrell, D Batra, D Parikh, A Singh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 67 | 2020 |
Douwe KielaContextual AI, Stanford UniversityPatvirtintas el. paštas stanford.edu