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Varun Kumar
Varun Kumar
AWS AI Labs
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Data augmentation using pre-trained transformer models
V Kumar, A Choudhary, E Cho
AACL 2020, 2020
2292020
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
J Dhamala, T Sun, V Kumar, S Krishna, Y Pruksachatkun, KW Chang, ...
FAccT 2021, 2021
832021
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, 2018
832018
Industry Scale Semi-Supervised Learning for Natural Language Understanding
L Chen, F Garcia, V Kumar, H Xie, J Lu
NAACL 2021, 2021
492021
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, 2019
482019
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, 2022
262022
Mining shapes of expertise in online social Q&A communities
V Kumar, N Pedanekar
CSCW 2016, 2016
212016
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, 2019
182019
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, 2020
142020
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity
E Cho, H Xie, JP Lalor, V Kumar, WM Campbell
ASRU 2019, 2019
142019
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
U Gupta, J Dhamala, V Kumar, A Verma, Y Pruksachatkun, S Krishna, ...
ACL 2022 Findings, 2022
122022
Multi-lingual Evaluation of Code Generation Models
B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ...
ICLR 2023, 2022
112022
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
92015
The GW/UMD CLPsych 2016 shared task system
A Zirikly, V Kumar, P Resnik
CLPsych @ NAACL 2016, 2016
82016
Automatically augmenting learning material with practical questions to increase its relevance
GK Singh, V Kumar, S Bhat, N Pedanekar
FIE 2015, 2015
62015
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification
M Kumar, V Kumar, H Glaude, A Alok, R Gupta
IEEE SLT 2021, 2021
42021
Identifying and characterizing an analogy in a document
N Pedanekar, V Kumar, SS Bhat
US Patent 9,588,965, 2017
42017
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models
N Mehrabi, P Goyal, A Verma, J Dhamala, V Kumar, Q Hu, KW Chang, ...
ACL 2023, 2022
22022
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation
J Dhamala, V Kumar, R Gupta, KW Chang, A Galstyan
SLT 2022, 2022
22022
Greener yet Powerful: Taming Large Code Generation Models with Quantization
X Wei, S Gonugondla, W Ahmad, S Wang, B Ray, H Qian, X Li, V Kumar, ...
arXiv preprint arXiv:2303.05378, 2023
2023
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