Subendhu Rongali
Cited by
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Don’t parse, generate! a sequence to sequence architecture for task-oriented semantic parsing
S Rongali, L Soldaini, E Monti, W Hamza
Proceedings of The Web Conference 2020, 2962-2968, 2020
Unsupervised parsing with S-DIORA: Single tree encoding for deep inside-outside recursive autoencoders
A Drozdov, S Rongali, YP Chen, T O’Gorman, M Iyyer, A McCallum
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Exploring transfer learning for end-to-end spoken language understanding
S Rongali, B Liu, L Cai, K Arkoudas, C Su, W Hamza
Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13754 …, 2021
Learning latent space representations to predict patient outcomes: Model development and validation
S Rongali, AJ Rose, DD McManus, AS Bajracharya, A Kapoor, E Granillo, ...
Journal of Medical Internet Research 22 (3), e16374, 2020
Estimating return on investment for grid scale storage within the economic dispatch framework
K Dasgupta, J Hazra, S Rongali, M Padmanaban
2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA), 1-6, 2015
Prevalence of frailty and associations with oral anticoagulant prescribing in atrial fibrillation
SR Sanghai, W Liu, W Wang, S Rongali, AR Orkaby, JS Saczynski, ...
Journal of general internal medicine 37 (4), 730-736, 2022
iPlug: Decentralised dispatch of distributed generation
S Rongali, T Ganuy, M Padmanabhan, V Arya, S Kalyanaraman, MI Petra
2016 8th International Conference on Communication Systems and Networks …, 2016
Training naturalized semantic parsers with very little data
S Rongali, K Arkoudas, M Rubino, W Hamza
arXiv preprint arXiv:2204.14243, 2022
A context vector regression based approach for demand forecasting in district heating networks
S Rongali, AR Choudhury, V Chandan, V Arya
2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA), 1-6, 2015
Continual domain-tuning for pretrained language models
S Rongali, A Jagannatha, BPS Rawat, H Yu
arXiv preprint arXiv:2004.02288, 2020
Improved latent tree induction with distant supervision via span constraints
Z Xu, A Drozdov, JY Lee, T O'Gorman, S Rongali, D Finkbeiner, S Suresh, ...
arXiv preprint arXiv:2109.05112, 2021
Compressing transformer-based semantic parsing models using compositional code embeddings
P Prakash, SK Shashidhar, W Zhao, S Rongali, H Khan, M Kayser
arXiv preprint arXiv:2010.05002, 2020
Improved pretraining for domain-specific contextual embedding models
S Rongali, A Jagannatha, BPS Rawat, H Yu
arXiv preprint arXiv:2004.02288, 2020
A socially aware incentive strategy for encouraging residential solar uptake in Brunei
H Khadilkar, P Kumar, S Rongali, S Dechu, MIPH Petra
2015 IEEE International Conference on Smart Grid Communications …, 2015
From multiple views to single view: A neural network approach
S Rongali, AP Sarath Chandar, B Ravindran
Proceedings of the 2nd ACM IKDD Conference on Data Sciences, 104-109, 2015
Intentional self-harm among US veterans with traumatic brain injury or posttraumatic stress disorder: retrospective cohort study from 2008 to 2017
BPS Rawat, J Reisman, TK Pogoda, W Liu, S Rongali, RH Aseltine Jr, ...
JMIR public health and surveillance 9, e42803, 2023
Low-Resource Compositional Semantic Parsing with Concept Pretraining
S Rongali, M Sridhar, H Khan, K Arkoudas, W Hamza, A McCallum
arXiv preprint arXiv:2301.09809, 2023
Low Resource Language Understanding in Voice Assistants
S Rongali
Speech processing
B Liu, W Hamza, L Cai, K Arkoudas, C Su, S Rongali
US Patent App. 18/324,440, 2023
FARS: FSM-Augmentation to Make LLMs Hallucinate the Right APIs
S Rongali, CS Prakash, A Gupta, W Hamza
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