| Samanantar: The largest publicly available parallel corpora collection for 11 indic languages G Ramesh, S Doddapaneni, A Bheemaraj, M Jobanputra, R AK, ... Transactions of the Association for Computational Linguistics, 2022, 2021 | 202* | 2021 |
| A survey of adversarial defenses and robustness in nlp S Goyal, S Doddapaneni, MM Khapra, B Ravindran ACM Computing Surveys 55 (14s), 1-39, 2023 | 94 | 2023 |
| A Primer on Pretrained Multilingual Language Models S Doddapaneni, G Ramesh, A Kunchukuttan, P Kumar, MM Khapra arXiv preprint arXiv:2107.00676, 2021 | 71 | 2021 |
| Towards leaving no indic language behind: Building monolingual corpora, benchmark and models for indic languages S Doddapaneni, R Aralikatte, G Ramesh, S Goyal, MM Khapra, ... arXiv preprint arXiv:2212.05409, 2022 | 63* | 2022 |
| Towards building asr systems for the next billion users T Javed, S Doddapaneni, A Raman, KS Bhogale, G Ramesh, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10813 …, 2022 | 55* | 2022 |
| Indictrans2: Towards high-quality and accessible machine translation models for all 22 scheduled indian languages J Gala, PA Chitale, R AK, V Gumma, S Doddapaneni, A Kumar, J Nawale, ... arXiv preprint arXiv:2305.16307, 2023 | 27 | 2023 |
| Bitions@ DravidianLangTech-EACL2021: Ensemble of multilingual language models with pseudo labeling for offence detection in Dravidian languages D Tula, P Potluri, S Ms, S Doddapaneni, P Sahu, R Sukumaran, P Patwa Proceedings of the first workshop on speech and language technologies for …, 2021 | 22 | 2021 |
| Effectiveness of mining audio and text pairs from public data for improving ASR systems for low-resource languages K Bhogale, A Raman, T Javed, S Doddapaneni, A Kunchukuttan, P Kumar, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 19 | 2023 |
| Naamapadam: a large-scale named entity annotated data for Indic languages A Mhaske, H Kedia, S Doddapaneni, MM Khapra, P Kumar, R Murthy V, ... arXiv preprint arXiv:2212.10168, 2022 | 16 | 2022 |
| User Embedding Model for Personalized Language Prompting S Doddapaneni, K Sayana, A Jash, S Sodhi, D Kuzmin arXiv preprint arXiv:2401.04858, 2024 | 6 | 2024 |
| Offence detection in dravidian languages using code-mixing index-based focal loss D Tula, MS Shreyas, V Reddy, P Sahu, S Doddapaneni, P Potluri, ... SN Computer Science 3 (5), 330, 2022 | 6 | 2022 |
| A comprehensive analysis of adapter efficiency N Mundra, S Doddapaneni, R Dabre, A Kunchukuttan, R Puduppully, ... Proceedings of the 7th Joint International Conference on Data Science …, 2024 | 4 | 2024 |
| V\= arta: A Large-Scale Headline-Generation Dataset for Indic Languages R Aralikatte, Z Cheng, S Doddapaneni, JCK Cheung arXiv preprint arXiv:2305.05858, 2023 | 4 | 2023 |
| IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages MSU Rahman Khan, P Mehta, A Sankar, U Kumaravelan, S Doddapaneni, ... arXiv e-prints, arXiv: 2403.06350, 2024 | 2* | 2024 |
| Finding Blind Spots in Evaluator LLMs with Interpretable Checklists S Doddapaneni, MSUR Khan, S Verma, MM Khapra arXiv preprint arXiv:2406.13439, 2024 | 1 | 2024 |
| PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting L Hebert, K Sayana, A Jash, A Karatzoglou, S Sodhi, S Doddapaneni, ... arXiv preprint arXiv:2408.00960, 2024 | | 2024 |
| EXPLORATORY OVERVIEW OF COVID-19 VACCINE A Natarajan, P Kamaraj, A Thakur, A Venkatasubramanian, A Pandey, ... | | |
Mitesh KhapraIndian Institute of Technology MadrasVerified email at cse.iitm.ac.in
