PHINC: a parallel hinglish social media code-mixed corpus for machine translation V Srivastava, M Singh arXiv preprint arXiv:2004.09447, 2020 | 61 | 2020 |
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text V Srivastava, M Singh arXiv preprint arXiv:2107.03760, 2021 | 45 | 2021 |
Challenges and limitations with the metrics measuring the complexity of code-mixed text V Srivastava, M Singh arXiv preprint arXiv:2106.10123, 2021 | 19 | 2021 |
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text V Srivastava, M Singh arXiv preprint arXiv:2108.01861, 2021 | 10 | 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 | 9 | 2020 |
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 | 8 | 2021 |
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 | 8 | 2020 |
Code-mixed nlg: Resources, metrics, and challenges V Srivastava, M Singh Proceedings of the 5th Joint International Conference on Data Science …, 2022 | 6 | 2022 |
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 | 6 | 2021 |
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 | 5 | 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 | 5 | 2020 |
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 |
Challenges and Considerations with Code-Mixed NLP for Multilingual Societies V Srivastava, M Singh arXiv preprint arXiv:2106.07823, 2021 | 4 | 2021 |
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 | 3 | 2023 |
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 | 3 | 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 | 1 | 2023 |
MUTANT: A Multi-sentential Code-mixed Hinglish Dataset R Gupta, V Srivastava, M Singh arXiv preprint arXiv:2302.11766, 2023 | 1 | 2023 |
ComicCamp: A Framework for Comic-Style Campaign Narration A Ranjan, V Srivastava, S Karande Creativity and Generative AI (NeurIPS'24 Workshop), 2024 | | 2024 |
Pick Your Influencer: Being Selective is Good for Personalization A Ranjan, V Srivastava, S Karande Adaptive Foundation Models: Evolving AI for Personalized and Efficient …, 2024 | | 2024 |
Meme Generation with Multi-modal Input and Planning A Ranjan, V Srivastava, J Khatri, S Bhat, S Karande Proceedings of the 2nd International Workshop on Deep Multimodal Generation …, 2024 | | 2024 |