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Akshat Gupta
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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
372021
Task-specific pre-training and cross lingual transfer for code-switched data
A Gupta, SK Rallabandi, A Black
arXiv preprint arXiv:2102.12407, 2021
21*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
212020
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
192018
Unsupervised self-training for sentiment analysis of code-switched data
A Gupta, S Menghani, SK Rallabandi, AW Black
arXiv preprint arXiv:2103.14797, 2021
172021
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
162020
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
142021
Model editing at scale leads to gradual and catastrophic forgetting
A Gupta, A Rao, G Anumanchipalli
arXiv preprint arXiv:2401.07453, 2024
112024
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
112023
Field-driven dynamical demixing of binary mixtures
AS Nunes, A Gupta, NAM Araújo, MMT da Gama
Molecular Physics 116 (21-22), 3224-3230, 2018
92018
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
82022
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
72023
On building spoken language understanding systems for low resourced languages
A Gupta
arXiv preprint arXiv:2205.12818, 2022
72022
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
52021
A unified framework for model editing
A Gupta, D Sajnani, G Anumanchipalli
arXiv preprint arXiv:2403.14236, 2024
42024
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
42023
Are ChatGPT and GPT-4 Good Poker Players?--A Pre-Flop Analysis
A Gupta
arXiv preprint arXiv:2308.12466, 2023
42023
Rebuilding rome: Resolving model collapse during sequential model editing
A Gupta, G Anumanchipalli
arXiv preprint arXiv:2403.07175, 2024
22024
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
12024
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