Varun Kumar
Varun Kumar
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Cited by
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Data augmentation using pre-trained transformer models
V Kumar, A Choudhary, E Cho
LLL @ AACL, 2020
Closing the loop: User-centered design and evaluation of a human-in-the-loop topic modeling system
A Smith, V Kumar, J Boyd-Graber, K Seppi, L Findlater
IUI, 2018
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
J Dhamala, T Sun, V Kumar, S Krishna, Y Pruksachatkun, KW Chang, ...
ACM FAccT, 2021
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
V Kumar, H Glaude, C de Lichy, W Campbell
DeepLo @ EMNLP, 2019
Mining shapes of expertise in online social Q&A communities
V Kumar, N Pedanekar
CSCW, 2016
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity
E Cho, H Xie, JP Lalor, V Kumar, WM Campbell
ASRU, 2019
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
V Kumar, A Smith-Renner, L Findlater, K Seppi, J Boyd-Graber
ACL, 2019
The GW/UMD CLPsych 2016 shared task system
A Zirikly, V Kumar, P Resnik
CLPsych @ NAACL, 2016
System and method for providing augmentation based learning content
N Pedanekar, VM Banahatti, SS Karande, V Kumar, AT Doke
US Patent App. 14/477,192, 2015
Digging into user control: perceptions of adherence and instability in transparent models
A Smith-Renner, V Kumar, J Boyd-Graber, K Seppi, L Findlater
IUI, 2020
Automatically augmenting learning material with practical questions to increase its relevance
GK Singh, V Kumar, S Bhat, N Pedanekar
IEEE FIE, 2015
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
YT Cao, Y Pruksachatkun, KW Chang, R Gupta, V Kumar, J Dhamala, ...
ACL, 2022
Assessing the need of augmenting video lectures with supporting information
GK Singh, A Doke, V Kumar, S Bhat, N Pedanekar
International Conference on Learning and Collaboration Technologies, 238-249, 2014
Industry Scale Semi-Supervised Learning for Natural Language Understanding
L Chen, F Garcia, V Kumar, H Xie, J Lu
NAACL, 2021
Identifying and characterizing an analogy in a document
N Pedanekar, V Kumar, SS Bhat
US Patent 9,588,965, 2017
Automatically retrieving explanatory analogies from webpages
V Kumar, S Bhat, N Pedanekar
ECIR, 2014
PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks
N Gandhi, V Gaikwad, P Kasat, N Garg, A Doke, V Kumar, S Karande, ...
APCHI, 2013
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification
M Kumar, V Kumar, H Glaude, A Alok, R Gupta
IEEE SLT, 2021
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
U Gupta, J Dhamala, V Kumar, A Verma, Y Pruksachatkun, S Krishna, ...
ACL Findings, 2022
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