| Anymal: An efficient and scalable any-modality augmented language model S Moon, A Madotto, Z Lin, T Nagarajan, M Smith, S Jain, CF Yeh, ... arXiv preprint arXiv:2309.16058, 2023 | 30 | 2023 |
| Getting to production with few-shot natural language generation models P Heidari, A Einolghozati, S Jain, S Batra, L Callender, A Arun, S Mei, ... Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021 | 11 | 2021 |
| Structure-to-text generation with self-training, acceptability classifiers and context-conditioning for the GEM shared task S Bakshi, S Batra, P Heidari, A Arun, S Jain, M White Proceedings of the 1st Workshop on Natural Language Generation, Evaluation …, 2021 | 10 | 2021 |
| Best practices for data-efficient modeling in NLG: how to train production-ready neural models with less data A Arun, S Batra, V Bhardwaj, A Challa, P Donmez, P Heidari, H Inan, ... arXiv preprint arXiv:2011.03877, 2020 | 10 | 2020 |
| Building adaptive acceptability classifiers for neural NLG S Batra, S Jain, P Heidari, A Arun, C Youngs, X Li, P Donmez, S Mei, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 8 | 2021 |
| PrIA: A private intelligent assistant S Jain, V Tiwari, A Balasubramanian, N Balasubramanian, S Chakraborty Proceedings of the 18th International Workshop on Mobile Computing Systems …, 2017 | 7 | 2017 |
| A Study on the Efficiency and Generalization of Light Hybrid Retrievers M Luo, S Jain, A Gupta, A Einolghozati, B Oguz, D Chatterjee, X Chen, ... arXiv preprint arXiv:2210.01371, 2022 | 3 | 2022 |
| Rail Road Strategy for SJF Starvation Problem S Jain, V Mishra, R Kumar, U Chandra Jaiswal Computer Networks and Information Technologies: Second International …, 2011 | 1 | 2011 |
| Text Generation with Speech Synthesis for ASR Data Augmentation Z Huang, G Keren, Z Jiang, S Jain, D Goss-Grubbs, N Cheng, F Abtahi, ... arXiv preprint arXiv:2305.16333, 2023 | | 2023 |
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