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ORCIDVarun Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j6]Varun Kumar
, Somdatta Goswami, Daniel Smith, George Em Karniadakis:
Real-time prediction of gas flow dynamics in diesel engines using a deep neural operator framework. Appl. Intell. 54(11-12): 14-34 (2024)- [c43]Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
Fewer Truncations Improve Language Modeling. ICML 2024 - [i23]Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
Fewer Truncations Improve Language Modeling. CoRR abs/2404.10830 (2024) - [i22]Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras:
Training LLMs to Better Self-Debug and Explain Code. CoRR abs/2405.18649 (2024) - [i21]Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun:
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR abs/2406.06461 (2024) - [i20]Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar:
On Mitigating Code LLM Hallucinations with API Documentation. CoRR abs/2407.09726 (2024) - [i19]Varun Kumar, Somdatta Goswami, Katiana Kontolati, Michael D. Shields, George Em Karniadakis:
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving. CoRR abs/2408.02198 (2024) - 2023
- [j5]Amit Kumar Yadav, Varun Kumar, Ajay Shekhar Pandey, Saurabh Mani Tripathi, Abhishek Kumar:
Wind farm Integrated fuzzy Logic-based Facts controlled Power System stability Analysis. Mechatron. Syst. Control. 51(4): 172-181 (2023) - [c42]Varun Kumar, Ishan Budhiraja, Akansha Singh, Rajat Chaudhary, Srinivas Aluvala:
Energy-Efficient THz NOMA-Enabled Small Cells Underlaying Macrocell Using Reinforcement Learning. ANTS 2023: 1-6 - [c41]Kurtis Haut, Caleb Wohn, Benjamin Kane, Thomas Carroll, Cathrine Guigno, Varun Kumar, Ronald M. Epstein, Lenhart K. Schubert, Mohammed Ehsan Hoque:
Validating a virtual human and automated feedback system for training doctor-patient communication skills. ACII 2023: 1-8 - [c40]Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta:
A Static Evaluation of Code Completion by Large Language Models. ACL (industry) 2023: 347-360 - [c39]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) 2023: 13818-13843 - [c38]Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) 2023: 14367-14388 - [c37]Simranjeet Singh, Varun Kumar, Subhasis Bhattacharjee:
An Integrated Approach to Point Labeling Problem. ICCCNT 2023: 1-6 - [c36]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati:
Multi-lingual Evaluation of Code Generation Models. ICLR 2023 - [c35]Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - [i18]Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR abs/2303.05378 (2023) - [i17]Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
A Static Evaluation of Code Completion by Large Language Models. CoRR abs/2306.03203 (2023) - [i16]Kurtis Haut, Caleb Wohn, Benjamin Kane, Tom Carroll, Catherine Giugno, Varun Kumar, Ronald M. Epstein, Lenhart K. Schubert, Ehsan Hoque:
Validating a virtual human and automated feedback system for training doctor-patient communication skills. CoRR abs/2306.15213 (2023) - [i15]Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis:
CrunchGPT: A chatGPT assisted framework for scientific machine learning. CoRR abs/2306.15551 (2023) - 2022
- [c34]Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan:
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) 2022: 561-570 - [c33]Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan:
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) 2022: 658-678 - [c32]Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT 2022: 655-662 - [i14]Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan:
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR abs/2203.12574 (2022) - [i13]Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan:
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR abs/2203.13928 (2022) - [i12]Md. Saiful Islam, Adiba Mahbub, Caleb Wohn, Karen Berger, Serena Uong, Varun Kumar, Katrina Smith Korfmacher, Ehsan Hoque:
SEER: Sustainable E-commerce with Environmental-impact Rating. CoRR abs/2209.06156 (2022) - [i11]Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. CoRR abs/2210.03826 (2022) - [i10]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - [i9]Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta:
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR abs/2211.12503 (2022) - [i8]Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. CoRR abs/2212.10264 (2022) - 2021
- [c31]Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta:
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. FAccT 2021: 862-872 - [c30]Anjeneya Swami Kare, Varun Kumar:
Heuristics for the Generalized Graph Coloring Problem. ICCCNT 2021: 1-6 - [c29]Varun Kumar, Bibhudatta Satapathy, Wilfred Kisku, Amandeep Kaur, Deepak Mishra:
CMOS image sensor with adaptive readout scheme for low power applications. MWSCAS 2021: 766-769 - [c28]Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu:
Industry Scale Semi-Supervised Learning for Natural Language Understanding. NAACL-HLT (Industry Papers) 2021: 311-318 - [c27]Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta:
Protoda: Efficient Transfer Learning for Few-Shot Intent Classification. SLT 2021: 966-972 - [i7]Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta:
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. CoRR abs/2101.11718 (2021) - [i6]Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta:
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification. CoRR abs/2101.11753 (2021) - [i5]Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu:
Industry Scale Semi-Supervised Learning for Natural Language Understanding. CoRR abs/2103.15871 (2021) - 2020
- [j4]Varun Kumar, Sarat Kumar Patra, Poonam Singh:
Mean-based reciprocity calibration in TDD massive MIMO system. IET Commun. 14(22): 4038-4047 (2020) - [j3]VirenViraj Shankar, Varun Kumar, Umesh Devagade, Vinay Karanth, K. Rohitaksha:
Heart Disease Prediction Using CNN Algorithm. SN Comput. Sci. 1(3): 170 (2020) - [c26]Prabhat Kumar, Poonam Singh, Varun Kumar:
Performance Analysis of RZF precoding and Mean based Calibration for Channel Reciprocity. ICCCS 2020: 1-6 - [c25]Alison Smith-Renner, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater:
Digging into user control: perceptions of adherence and instability in transparent models. IUI 2020: 519-530 - [i4]Varun Kumar, Ashutosh Choudhary, Eunah Cho:
Data Augmentation using Pre-trained Transformer Models. CoRR abs/2003.02245 (2020)
2010 – 2019
- 2019
- [c24]Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber:
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. ACL (1) 2019: 6323-6330 - [c23]Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell:
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. DeepLo@EMNLP-IJCNLP 2019: 1-10 - [c22]Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell:
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. ASRU 2019: 1077-1084 - [c21]Jasmin Jahic, Varun Kumar, Matthias Jung, Gerhard Wirrer, Norbert Wehn, Thomas Kuhn:
Rapid Identification of Shared Memory in Multithreaded Embedded Systems with Static Scheduling. ICPP Workshops 2019: 15:1-15:8 - [c20]Jasmin Jahic, Varun Kumar, Pablo Oliveira Antonino, Gerhard Wirrer:
Testing the Implementation of Concurrent AUTOSAR Drivers Against Architecture Decisions. ICSA 2019: 171-180 - [i3]Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber:
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. CoRR abs/1905.09864 (2019) - [i2]Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell:
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. CoRR abs/1910.04176 (2019) - [i1]Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell:
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. CoRR abs/1910.04196 (2019) - 2018
- [c19]Alison Smith, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater:
Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System. IUI 2018: 293-304 - 2017
- [j2]Varun Kumar, Harpinder Kaur, Mukesh Kumar:
Narrow-core hollow optical waveguide with nanostructured SOI as ultra-low loss platform for efficient photodetection. Photonic Netw. Commun. 34(2): 241-247 (2017) - [c18]Varun Kumar, Sudhansu Arya, Sarat Kumar Patra:
Achievable rate and power efficiency in uplink massive MIMO system under antenna correlation. ANTS 2017: 1-5 - 2016
- [c17]Varun Kumar, Niranjan Pedanekar:
Mining Shapes of Expertise in Online Social Q&A Communities. CSCW Companion 2016: 317-320 - [c16]Amin Abbasalipour, Mohammad Mahdavi, Varun Kumar, Siavash Pourkamali, Soheil Daryadel, Majid Minary:
Nano-precision micromachined frequency output profilometer. IEEE SENSORS 2016: 1-3 - [c15]Vahid Qaradaghi, Mohammad Mahdavi, Varun Kumar, Siavash Pourkamali:
Frequency output MEMS resonator on membrane pressure sensors. IEEE SENSORS 2016: 1-3 - [c14]Alireza Ramezany, Vahid Qaradaghi, Varun Kumar, Siavash Pourkamali:
Frequency modulated electrostatically coupled resonators for sensing applications. IEEE SENSORS 2016: 1-3 - [c13]Ayah Zirikly, Varun Kumar, Philip Resnik:
The GW/UMD CLPsych 2016 Shared Task System. CLPsych@HLT-NAACL 2016: 166-170 - [c12]Shilpa Pal, Dipti Singh, Varun Kumar:
Hybrid SOMA: A Tool for Optimizing TMD Parameters. SocProS (1) 2016: 35-41 - 2015
- [c11]Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Automatically augmenting learning material with practical questions to increase its relevance. FIE 2015: 1-7 - [c10]Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Stickipedia: A Search Engine and Repository for Explanatory Analogies. ICALT 2015: 280-284 - 2014
- [j1]Saurabh Vats, Gaurav Vats, Rahul Vaish, Varun Kumar:
Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach. Appl. Soft Comput. 21: 444-452 (2014) - [c9]Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Automatically Retrieving Explanatory Analogies from Webpages. ECIR 2014: 481-486 - [c8]Abhay Doke, Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Which hat are you wearing today? Enabling perspectives while learning computer science. FIE 2014: 1-4 - [c7]Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar:
Assessing the Need of Augmenting Video Lectures with Supporting Information. HCI (14) 2014: 238-249 - [c6]Varun Kumar, Gora Chand Nandi, Rahul Kala:
Static hand gesture recognition using stacked Denoising Sparse Autoencoders. IC3 2014: 99-104 - 2013
- [c5]Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish S. Karande, Vijayanand Banahatti, Niranjan Pedanekar:
PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks. APCHI 2013: 174-177 - 2010
- [c4]Rajanish Dass, Varun Kumar:
Kaal - A Real Time Stream Mining Algorithm. HICSS 2010: 1-10
2000 – 2009
- 2009
- [c3]Varun Kumar, M. K. Gupta, Ashish Chaturvedi, Anuj Bhardwaj, Manu Pratap Singh:
Click to Zoom-Inside Graphical Authentication. ICDIP 2009: 238-242 - 2006
- [c2]Peng Wang, Varun Kumar, Maneesha Singh:
Multiresolution Estimates of Classification Complexity and Multiple Subspace Classifiers for Understanding and Solving Complex Recognition Tasks. SPPRA 2006: 250-255 - 2005
- [c1]Abhinav Ray, Varun Kumar:
Safety-Automation of Cars Using Embedded Microcontrollers. CIMCA/IAWTIC 2005: 851-857
Coauthor Index
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