| Sj_aj@ dravidianlangtech-eacl2021: Task-adaptive pre-training of multilingual bert models for offensive language identification SM Jayanthi, A Gupta arXiv preprint arXiv:2102.01051, 2021 | 35 | 2021 |
| Stochastic Lagrangian dynamics of vorticity. Part 1. General theory for viscous, incompressible fluids GL Eyink, A Gupta, TA Zaki Journal of Fluid Mechanics 901, A2, 2020 | 21 | 2020 |
| Task-specific pre-training and cross lingual transfer for code-switched data A Gupta, SK Rallabandi, A Black arXiv preprint arXiv:2102.12407, 2021 | 20* | 2021 |
| Urbanization and biodiversity of arbuscular mycorrhizal fungi: The case study of Delhi, India MM Gupta, A Gupta, P Kumar Revista de Biología Tropical 66 (4), 1547-1558, 2018 | 18 | 2018 |
| Unsupervised self-training for sentiment analysis of code-switched data A Gupta, S Menghani, SK Rallabandi, AW Black arXiv preprint arXiv:2103.14797, 2021 | 17 | 2021 |
| Stochastic Lagrangian dynamics of vorticity. Part 2. Application to near-wall channel-flow turbulence GL Eyink, A Gupta, TA Zaki Journal of Fluid Mechanics 901, A3, 2020 | 16 | 2020 |
| Acoustics based intent recognition using discovered phonetic units for low resource languages A Gupta, X Li, SK Rallabandi, AW Black ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 13 | 2021 |
| Model editing at scale leads to gradual and catastrophic forgetting A Gupta, A Rao, G Anumanchipalli arXiv preprint arXiv:2401.07453, 2024 | 11 | 2024 |
| REFinD: Relation extraction financial dataset S Kaur, C Smiley, A Gupta, J Sain, D Wang, S Siddagangappa, T Aguda, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 11 | 2023 |
| Field-driven dynamical demixing of binary mixtures AS Nunes, A Gupta, NAM Araújo, MMT da Gama Molecular Physics 116 (21-22), 3224-3230, 2018 | 9 | 2018 |
| Tweetfinsent: A dataset of stock sentiments on twitter Y Pei, A Mbakwe, A Gupta, S Alamir, H Lin, X Liu, S Shah Proceedings of the Fourth Workshop on Financial Technology and Natural …, 2022 | 8 | 2022 |
| Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling A Gupta Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting …, 2023 | 7* | 2023 |
| Have large language models developed a personality?: Applicability of self-assessment tests in measuring personality in llms X Song, A Gupta, K Mohebbizadeh, S Hu, A Singh arXiv preprint arXiv:2305.14693, 2023 | 7 | 2023 |
| On building spoken language understanding systems for low resourced languages A Gupta arXiv preprint arXiv:2205.12818, 2022 | 7 | 2022 |
| Intent recognition and unsupervised slot identification for low-resourced spoken dialog systems A Gupta, O Deng, A Kushwaha, S Mittal, W Zeng, SK Rallabandi, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 5 | 2021 |
| A unified framework for model editing A Gupta, D Sajnani, G Anumanchipalli arXiv preprint arXiv:2403.14236, 2024 | 4 | 2024 |
| Investigating the applicability of self-assessment tests for personality measurement of large language models A Gupta, X Song, G Anumanchipalli arXiv preprint arXiv:2309.08163, 2023 | 4 | 2023 |
| Are ChatGPT and GPT-4 Good Poker Players?--A Pre-Flop Analysis A Gupta arXiv preprint arXiv:2308.12466, 2023 | 4 | 2023 |
| Rebuilding rome: Resolving model collapse during sequential model editing A Gupta, G Anumanchipalli arXiv preprint arXiv:2403.07175, 2024 | 2 | 2024 |
| Is Bigger Edit Batch Size Always Better?--An Empirical Study on Model Editing with Llama-3 J Yoon, A Gupta, G Anumanchipalli arXiv preprint arXiv:2405.00664, 2024 | 1 | 2024 |
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
