| Deep learning for detecting cyberbullying across multiple social media platforms S Agrawal, A Awekar European conference on information retrieval, 141-153, 2018 | 466 | 2018 |
| In-context Examples Selection for Machine Translation S Agrawal, C Zhou, M Lewis, L Zettlemoyer, M Ghazvininejad Findings of ACL 2023, 2022 | 206 | 2022 |
| 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 (2022) 10: 50–72., 2021 | 194* | 2021 |
| Tower: An open multilingual large language model for translation-related tasks DM Alves, J Pombal, NM Guerreiro, PH Martins, J Alves, A Farajian, ... COLM 2024, 2024 | 98 | 2024 |
| The prompt report: A systematic survey of prompting techniques S Schulhoff, M Ilie, N Balepur, K Kahadze, A Liu, C Si, Y Li, A Gupta, ... arXiv preprint arXiv:2406.06608, 2024 | 90 | 2024 |
| Controlling text complexity in neural machine translation S Agrawal, M Carpuat Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 70 | 2019 |
| Findings of the IWSLT 2023 evaluation campaign M Agarwal, S Agrawal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ... Association for Computational Linguistics, 2023 | 56 | 2023 |
| Understanding and detecting hallucinations in neural machine translation via model introspection W Xu, S Agrawal, E Briakou, MJ Martindale, M Carpuat Transactions of the Association for Computational Linguistics 11, 546-564, 2023 | 55 | 2023 |
| BLESS: Benchmarking Large Language Models on Sentence Simplification T Kew, A Chi, L Vásquez-Rodríguez, S Agrawal, D Aumiller, ... EMNLP 2023, 2023 | 42 | 2023 |
| A non-autoregressive edit-based approach to controllable text simplification S Agrawal, W Xu, M Carpuat Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 35 | 2021 |
| Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer E Briakou, S Agrawal, J Tetreault, M Carpuat Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
| A review of human evaluation for style transfer E Briakou, S Agrawal, K Zhang, J Tetreault, M Carpuat GEM 2021, 2021 | 27 | 2021 |
| An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models S Agrawal, M Carpuat Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 26 | 2022 |
| Assessing reference-free peer evaluation for machine translation S Agrawal, G Foster, M Freitag, C Cherry Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 21 | 2021 |
| Smart geo-fencing using location sensitive product affinity A Garg, S Agrawal, S Agrawal, P Bajaj, A Kedia US Patent 11,049,142, 2021 | 20 | 2021 |
| Controlling pre-trained language models for grade-specific text simplification S Agrawal, M Carpuat arXiv preprint arXiv:2305.14993, 2023 | 16 | 2023 |
| Smart geo-fencing with location sensitive product affinity A Garg, S Choudhary, P Bajaj, S Agrawal, A Kedia, S Agrawal Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017 | 16 | 2017 |
| Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors N Mehandru, S Agrawal, Y Xiao, EC Khoong, G Gao, M Carpuat, N Salehi EMNLP 2023, 2023 | 11 | 2023 |
| Controlling Translation Formality Using Pre-trained Multilingual Language Models E Rippeth, S Agrawal, M Carpuat IWSLT 2022, 2022 | 10 | 2022 |
| Machine learning techniques for increasing color consistency across videos C Nanda, PB Ramesh, S Agrawal US Patent 10,679,328, 2020 | 8 | 2020 |
Marine CarpuatAssociate Professor, Computer Science, University of MarylandVerified email at umd.edu
