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 | 38 | 2021 |
Model editing at scale leads to gradual and catastrophic forgetting A Gupta, A Rao, G Anumanchipalli ACL 2024 (Findings), 15202–15232, 2024 | 32 | 2024 |
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 | 25 | 2018 |
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 |
Unsupervised self-training for sentiment analysis of code-switched data A Gupta, S Menghani, SK Rallabandi, AW Black arXiv preprint arXiv:2103.14797, 2021 | 22 | 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 |
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 | 17 | 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 | 15 | 2021 |
A unified framework for model editing A Gupta, D Sajnani, G Anumanchipalli EMNLP 2024 (Findings), 2024 | 14 | 2024 |
Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling A Gupta Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting …, 2023 | 13* | 2023 |
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 |
Rebuilding ROME: Resolving model collapse during sequential model editing A Gupta, S Baskaran, G Anumanchipalli EMNLP 2024, 2024 | 10* | 2024 |
Self-Assessment Tests are Unreliable Measures of LLM Personality A Gupta, X Song, G Anumanchipalli The 7th BlackboxNLP Workshop, 2024 | 10* | 2024 |
Are ChatGPT and GPT-4 Good Poker Players?--A Pre-Flop Analysis A Gupta arXiv preprint arXiv:2308.12466, 2023 | 9* | 2023 |
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 | 9 | 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 |
Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognition A Singh, A Gupta arXiv preprint arXiv:2308.08713, 2023 | 5 | 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 | 2 | 2024 |