| PHINC: a parallel hinglish social media code-mixed corpus for machine translation V Srivastava, M Singh arXiv preprint arXiv:2004.09447, 2020 | 51 | 2020 |
| HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text V Srivastava, M Singh arXiv preprint arXiv:2107.03760, 2021 | 31 | 2021 |
| Challenges and limitations with the metrics measuring the complexity of code-mixed text V Srivastava, M Singh arXiv preprint arXiv:2106.10123, 2021 | 15 | 2021 |
| IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection V Srivastava, M Singh arXiv preprint arXiv:2006.14465, 2020 | 8 | 2020 |
| Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text V Srivastava, M Singh arXiv preprint arXiv:2108.01861, 2021 | 7 | 2021 |
| MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation A Garg, SS Kagi, V Srivastava, M Singh arXiv preprint arXiv:2107.11534, 2021 | 6 | 2021 |
| Understanding the political inclination of WhatsApp chats A Yadav, A Garg, A Aglawe, A Agarwal, V Srivastava Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 361-362, 2020 | 5 | 2020 |
| Stance detection in Hindi-English code-mixed data J Utsav, D Kabaria, R Vajpeyi, M Mina, V Srivastava Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 359-360, 2020 | 5 | 2020 |
| Overview and results of MixMT shared-task at WMT 2022 V Srivastava, M Singh Proceedings of the Seventh Conference on Machine Translation (WMT), 806-811, 2022 | 4 | 2022 |
| Code-Mixed NLG: Resources, Metrics, and Challenges V Srivastava, M Singh 5th Joint International Conference on Data Science & Management of Data (9th …, 2022 | 4 | 2022 |
| PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger V Srivastava, M Singh arXiv preprint arXiv:2010.13263, 2020 | 4 | 2020 |
| Challenges and Considerations with Code-Mixed NLP for Multilingual Societies V Srivastava, M Singh arXiv preprint arXiv:2106.07823, 2021 | 3 | 2021 |
| What BERTs and GPTs know about your brand? Probing contextual language models for affect associations V Srivastava, S Pilli, S Bhat, N Pedanekar, S Karande Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on …, 2021 | 2 | 2021 |
| A Few Good Sentences: Content Selection for Abstractive Text Summarization V Srivastava, S Bhat, N Pedanekar Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
| MUTANT: A Multi-sentential Code-mixed Hinglish Dataset R Gupta, V Srivastava, M Singh arXiv preprint arXiv:2302.11766, 2023 | 1 | 2023 |
| Can You Translate for Me? Code-Switched Machine Translation with Large Language Models J Khatri, V Srivastava, L Vig Proceedings of the 13th International Joint Conference on Natural Language …, 2023 | | 2023 |
| It’s What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data N Shah, V Srivastava, M Bhardwaj, S Kadlay, D Agrawal, S Bhat, ... 2023 Asia Pacific Signal and Information Processing Association Annual …, 2023 | | 2023 |
| Hiding in Plain Sight: Insights into Abstractive Text Summarization V Srivastava, S Bhat, N Pedanekar The Fourth Workshop on Insights from Negative Results in NLP, 67-74, 2023 | | 2023 |
| MMT: A Multilingual and Multi-Topic Indian Social Media Dataset D Dalal, V Srivastava, M Singh arXiv preprint arXiv:2304.00634, 2023 | | 2023 |
| HinglishEval Generation Challenge on Quality Estimation of Synthetic Code-Mixed Text: Overview and Results V Srivastava, M Singh Proceedings of the 15th International Conference on Natural Language …, 2022 | | 2022 |
