| MuRIL: Multilingual Representations for Indian Languages S Khanuja, D Bansal, S Mehtani, S Khosla, A Dey, B Gopalan, ... arXiv preprint arXiv:2103.10730, 2021 | 304 | 2021 |
| FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech A Conneau*, M Ma*, S Khanuja*, Y Zhang, V Axelrod, S Dalmia, J Riesa, ... SLT 2022 (Best Paper), 2022 | 262 | 2022 |
| GLUECoS: An Evaluation Benchmark for Code-Switched NLP S Khanuja, S Dandapat, A Srinivasan, S Sitaram, M Choudhury ACL 2020, 2020 | 129 | 2020 |
| mSLAM: Massively multilingual joint pre-training for speech and text A Bapna, C Cherry, Y Zhang, Y Jia, M Johnson, Y Cheng, S Khanuja, ... arXiv preprint arXiv:2202.01374, 2022 | 116 | 2022 |
| Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities P Joshi, C Barnes, S Santy, S Khanuja, S Shah, A Srinivasan, ... ICON 2019, 2019 | 44 | 2019 |
| A New Dataset for Natural Language Inference from Code-mixed Conversations S Khanuja, S Dandapat, S Sitaram, M Choudhury LREC 2020, 2020 | 40 | 2020 |
| Evaluating inclusivity, equity, and accessibility of NLP technology: A case study for Indian languages S Khanuja, S Ruder, P Talukdar EACL 2023 Findings, 2022 | 25* | 2022 |
| Multi-lingual and Multi-cultural Figurative Language Understanding A Kabra, E Liu, S Khanuja, AF Aji, GI Winata, S Cahyawijaya, A Aremu, ... ACL Findings 2023, 2023 | 24 | 2023 |
| XTREME-S: Evaluating cross-lingual speech representations A Conneau, A Bapna, Y Zhang, M Ma, P von Platen, A Lozhkov, C Cherry, ... Interspeech 2022, 2022 | 22 | 2022 |
| Mergedistill: Merging pre-trained language models using distillation S Khanuja, M Johnson, P Talukdar ACL Findings 2021, 2021 | 20 | 2021 |
| GlobalBench: A Benchmark for Global Progress in Natural Language Processing Y Song, C Cui, S Khanuja, P Liu, F Faisal, A Ostapenko, GI Winata, AF Aji, ... EMNLP 2023, 2023 | 11 | 2023 |
| Cross-lingual and multilingual spoken term detection for low-resource Indian languages S Shah, S Guha, S Khanuja, S Sitaram arXiv preprint arXiv:2011.06226, 2020 | 6 | 2020 |
| NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples B Li, Z Lin, W Peng, JD Nyandwi, D Jiang, Z Ma, S Khanuja, R Krishna, ... Neurips D&B 2024, 2024 | 5 | 2024 |
| Pangea: A fully open multilingual multimodal llm for 39 languages X Yue, Y Song, A Asai, S Kim, JD Nyandwi, S Khanuja, A Kantharuban, ... arXiv preprint arXiv:2410.16153, 2024 | 4 | 2024 |
| An image speaks a thousand words, but can everyone listen? On translating images for cultural relevance S Khanuja, S Ramamoorthy, Y Song, G Neubig EMNLP 2024 (Best Paper), 2024 | 4 | 2024 |
| DeMuX: Data-efficient Multilingual Learning S Khanuja, S Gowriraj, L Dery, G Neubig NAACL 2024, 2023 | 3 | 2023 |
| What Is Missing in Multilingual Visual Reasoning and How to Fix It Y Song, S Khanuja, G Neubig arXiv preprint arXiv:2403.01404, 2024 | 2 | 2024 |
| Dependency parser for bengali-english code-mixed data enhanced with a synthetic treebank U Ghosh, DM Sharma, S Khanuja Proceedings of the 18th International Workshop on Treebanks and Linguistic …, 2019 | 1 | 2019 |
| Towards Automatic Evaluation for Image Transcreation S Khanuja, V Iyer, C He, G Neubig arXiv preprint arXiv:2412.13717, 2024 | | 2024 |
| Senior Thesis 2024 Y Song, S Khanuja, G Neubig | | |
Jason RiesaGoogle Inc在 google.com 的电子邮件经过验证
