| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 11935 | 2023 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 1906 | 2024 |
| No language left behind: Scaling human-centered machine translation MR Costa-jussą, J Cross, O Ēelebi, M Elbayad, K Heafield, K Heffernan, ... arXiv preprint arXiv:2207.04672, 2022 | 800 | 2022 |
| Flava: A foundational language and vision alignment model A Singh*, R Hu*, V Goswami*, G Couairon, W Galuba, M Rohrbach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 718 | 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 | 638 | 2020 |
| 12-in-1: Multi-task vision and language representation learning J Lu*, V Goswami*, M Rohrbach, D Parikh, S Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 560 | 2020 |
| MMF: A multimodal framework for vision and language research A Singh, V Goswami, V Natarajan, Y Jiang, X Chen, M Shah, M Rohrbach, ... URL: https://github. com/facebookresearch/mmf, 0 | 378* | |
| Only time can tell: Discovering temporal data for temporal modeling L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 91 | 2021 |
| Creative sketch generation S Ge, V Goswami, CL Zitnick, D Parikh arXiv preprint arXiv:2011.10039, 2020 | 87 | 2020 |
| 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 | 74 | 2021 |
| Human-adversarial visual question answering S Sheng, A Singh, V Goswami, J Magana, T Thrush, W Galuba, D Parikh, ... Advances in Neural Information Processing Systems 34, 20346-20359, 2021 | 67 | 2021 |
| Are we pretraining it right? digging deeper into visio-linguistic pretraining A Singh, V Goswami, D Parikh arXiv preprint arXiv:2004.08744, 2020 | 50 | 2020 |
| Movie: Revisiting modulated convolutions for visual counting and beyond DK Nguyen, V Goswami, X Chen arXiv preprint arXiv:2004.11883, 2020 | 37 | 2020 |
| Speechmatrix: A large-scale mined corpus of multilingual speech-to-speech translations PA Duquenne, H Gong, N Dong, J Du, A Lee, V Goswani, C Wang, J Pino, ... arXiv preprint arXiv:2211.04508, 2022 | 33 | 2022 |
| Muavic: A multilingual audio-visual corpus for robust speech recognition and robust speech-to-text translation M Anwar, B Shi, V Goswami, WN Hsu, J Pino, C Wang arXiv preprint arXiv:2303.00628, 2023 | 31 | 2023 |
| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 29 | 2024 |
| Small data, big impact: Leveraging minimal data for effective machine translation J Maillard, C Gao, E Kalbassi, KR Sadagopan, V Goswami, P Koehn, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 27 | 2023 |
| Scaling neural machine translation to 200 languages NLLB Team Nature 630 (8018), 841, 2024 | 25 | 2024 |
| Revisiting machine translation for cross-lingual classification M Artetxe, V Goswami, S Bhosale, A Fan, L Zettlemoyer arXiv preprint arXiv:2305.14240, 2023 | 23 | 2023 |
| Tricks for training sparse translation models D Dua, S Bhosale, V Goswami, J Cross, M Lewis, A Fan arXiv preprint arXiv:2110.08246, 2021 | 22 | 2021 |
Amanpreet SinghContextual AIVerified email at contextual.ai
