| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3439 | 2024 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 2307 | 2023 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Deep neural networks for bot detection S Kudugunta, E Ferrara Information Sciences 467, 312-322, 2018 | 640 | 2018 |
| Quality at a glance: An audit of web-crawled multilingual datasets J Kreutzer, I Caswell, L Wang, A Wahab, D Van Esch, N Ulzii-Orshikh, ... Transactions of the Association for Computational Linguistics 10, 50-72, 2022 | 261 | 2022 |
| Madlad-400: A multilingual and document-level large audited dataset S Kudugunta, I Caswell, B Zhang, X Garcia, D Xin, A Kusupati, R Stella, ... Advances in Neural Information Processing Systems 36, 67284-67296, 2023 | 215 | 2023 |
| Beyond distillation: Task-level mixture-of-experts for efficient inference S Kudugunta, Y Huang, A Bapna, M Krikun, D Lepikhin, MT Luong, O Firat arXiv preprint arXiv:2110.03742, 2021 | 146 | 2021 |
| Investigating Multilingual NMT Representations at Scale SR Kudugunta, A Bapna, I Caswell, N Arivazhagan, O Firat arXiv preprint arXiv:1909.02197, 2019 | 145 | 2019 |
| A loss curvature perspective on training instabilities of deep learning models J Gilmer, B Ghorbani, A Garg, S Kudugunta, B Neyshabur, D Cardoze, ... International Conference on Learning Representations, 2022 | 97* | 2022 |
| Mural: multimodal, multitask retrieval across languages A Jain, M Guo, K Srinivasan, T Chen, S Kudugunta, C Jia, Y Yang, ... arXiv preprint arXiv:2109.05125, 2021 | 97 | 2021 |
| Leveraging monolingual data with self-supervision for multilingual neural machine translation A Siddhant, A Bapna, Y Cao, O Firat, MX Chen, S Kudugunta, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 85 | 2020 |
| BUFFET: Benchmarking large language models for few-shot cross-lingual transfer A Asai, S Kudugunta, X Yu, T Blevins, H Gonen, M Reid, Y Tsvetkov, ... Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 82* | 2024 |
| MatFormer: Nested Transformer for Elastic Inference Devvrit*, S Kudugunta*, A Kusupati*, T Dettmers, K Chen, I Dhillon, ... arXiv preprint arXiv:2310.07707, 2023 | 63 | 2023 |
| (mis) fitting scaling laws: A survey of scaling law fitting techniques in deep learning M Li, S Kudugunta, L Zettlemoyer The Thirteenth International Conference on Learning Representations, 2025 | 14* | 2025 |
| ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality S Longpre, S Kudugunta, N Muennighoff, I Hsu, I Caswell, A Pentland, ... arXiv preprint arXiv:2510.22037, 2025 | 1 | 2025 |
| Systems and methods for routing within multitask mixture-of-experts models Y Huang, D Lepikhin, M Krikun, O Firat, A Bapna, T Luong, S Kudugunta US Patent 12,242,948, 2025 | 1 | 2025 |
| MiTTenS: A dataset for evaluating gender mistranslation K Robinson, S Kudugunta, R Stella, S Dev, J Bastings arXiv preprint arXiv:2401.06935, 2024 | 1 | 2024 |
Orhan FiratGoogle AIVerified email at google.com
