Niranjan Balasubramanian
Niranjan Balasubramanian
Assistant Professor, Computer Science, Stony Brook University
Verified email at - Homepage
Cited by
Cited by
Energy consumption in mobile phones: a measurement study and implications for network applications
N Balasubramanian, A Balasubramanian, A Venkataramani
Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement, 280-293, 2009
Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions
H Trivedi, N Balasubramanian, T Khot, A Sabharwal
arXiv preprint arXiv:2212.10509, 2022
Generating Coherent Event Schemas at Scale
N Balasubramanian, S Soderland, Mausam, O Etzioni
Empirical Methods in Natural Language Processing, 1721-1731, 2013
♫ MuSiQue: Multihop Questions via Single-hop Question Composition
H Trivedi, N Balasubramanian, T Khot, A Sabharwal
Transactions of the Association for Computational Linguistics 10, 539-554, 2022
Exploring reductions for long web queries
N Balasubramanian, G Kumaran, VR Carvalho
Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010
Event Representations with Tensor-based Compositions
N Weber, N Balasubramanian, N Chambers
AAAI Conference on Artificial Intelligence, 2018
Hierarchical modeling for user personality prediction: The role of message-level attention
V Lynn, N Balasubramanian, HA Schwartz
Proceedings of the 58th annual meeting of the association for computational …, 2020
MobiRNN: Efficient recurrent neural network execution on mobile GPU
Q Cao, N Balasubramanian, A Balasubramanian
Proceedings of the 1st International Workshop on Deep Learning for Mobile …, 2017
Efficient methods for natural language processing: A survey
M Treviso, JU Lee, T Ji, B Aken, Q Cao, MR Ciosici, M Hassid, K Heafield, ...
Transactions of the Association for Computational Linguistics 11, 826-860, 2023
Human centered NLP with user-factor adaptation
V Lynn, Y Son, V Kulkarni, N Balasubramanian, HA Schwartz
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
What’s in an explanation? characterizing knowledge and inference requirements for elementary science exams
P Jansen, N Balasubramanian, M Surdeanu, P Clark
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Repurposing Entailment for Multi-Hop Question Answering Tasks
H Trivedi, H Kwon, T Khot, A Sabharwal, N Balasubramanian
North American Chapter of the Association for Computational Linguistics …, 2019
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Q Cao, H Trivedi, A Balasubramanian, N Balasubramanian
Annual Meeting of the Association for Computational Linguistics, 4487-4497, 2020
A study of the knowledge base requirements for passing an elementary science test
P Clark, P Harrison, N Balasubramanian
Proceedings of the 2013 workshop on Automated knowledge base construction, 37-42, 2013
Exploring markov logic networks for question answering
T Khot, N Balasubramanian, E Gribkoff, A Sabharwal, P Clark, O Etzioni
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
Learning visual emotion representations from web data
Z Wei, J Zhang, Z Lin, JY Lee, N Balasubramanian, M Hoai, D Samaras
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
A comparison of sentence retrieval techniques
N Balasubramanian, J Allan, WB Croft
Proceedings of the 30th annual international ACM SIGIR conference on …, 2007
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
N Weber, L Shekhar, N Balasubramanian
Workshop on Generalization in the Age of Deep Learning in NAACL, 24-27, 2018
TellMeWhy: A dataset for answering why-questions in narratives
YK Lal, N Chambers, R Mooney, N Balasubramanian
arXiv preprint arXiv:2106.06132, 2021
Hierarchical Quantized Representations for Script Generation
N Weber, L Shekhar, N Balasubramanian, N Chambers
Conference on Empirical Methods in Natural Language Processing, 3783-3792, 2018
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