| Model editing at scale leads to gradual and catastrophic forgetting A Gupta, A Rao, G Anumanchipalli ACL 2024 (Findings), 15202–15232, 2024 | 52 | 2024 |
| 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 | 39 | 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 | 27 | 2020 |
| 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 | 27 | 2018 |
| A unified framework for model editing A Gupta, D Sajnani, G Anumanchipalli EMNLP 2024 (Findings), 2024 | 25 | 2024 |
| Unsupervised self-training for sentiment analysis of code-switched data A Gupta, S Menghani, SK Rallabandi, AW Black arXiv preprint arXiv:2103.14797, 2021 | 24 | 2021 |
| Task-specific pre-training and cross lingual transfer for code-switched data A Gupta, SK Rallabandi, A Black arXiv preprint arXiv:2102.12407, 2021 | 23* | 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 | 20 | 2020 |
| Rebuilding ROME: Resolving model collapse during sequential model editing A Gupta, S Baskaran, G Anumanchipalli EMNLP 2024, 2024 | 19* | 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 | 19 | 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 | 17 | 2023 |
| 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 | 16 | 2021 |
| Probing quantifier comprehension in large language models: another example of inverse scaling A Gupta arXiv preprint arXiv:2306.07384, 2023 | 13 | 2023 |
| Self-Assessment Tests are Unreliable Measures of LLM Personality A Gupta, X Song, G Anumanchipalli The 7th BlackboxNLP Workshop, 2024 | 12* | 2024 |
| 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 | 11 | 2022 |
| Survey of artificial intelligence approaches in the study of anthropogenic impacts on symbiotic organisms–a holistic view MM Gupta, A Gupta Symbiosis 84 (3), 271-283, 2021 | 11 | 2021 |
| 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 | 6 | 2024 |
| Are ChatGPT and GPT-4 Good Poker Players?--A Pre-Flop Analysis A Gupta arXiv preprint arXiv:2308.12466, 2023 | 6 | 2023 |
| Decoding emotions: A comprehensive multilingual study of speech models for speech emotion recognition A Singh, A Gupta arXiv preprint arXiv:2308.08713, 2023 | 4 | 2023 |
| Finezip: Pushing the limits of large language models for practical lossless text compression F Mittu, Y Bu, A Gupta, A Devireddy, AE Ozdarendeli, A Singh, ... arXiv preprint arXiv:2409.17141, 2024 | 3 | 2024 |
Gopala K. AnumanchipalliAssistant Professor in EECS, University of California, BerkeleyVerified email at berkeley.edu
