Varun Kumar

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 58

Top Topics

Code Generation

Natural Language Understanding

Top Venues

Publications

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 (1) (2024)
Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto
Fewer Truncations Improve Language Modeling. CoRR (2024)
Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
On Mitigating Code LLM Hallucinations with API Documentation. CoRR (2024)
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 (2024)
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR (2024)
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)
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 (2023)
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 (2023)
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 (2023)
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)
Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis
CrunchGPT: A chatGPT assisted framework for scientific machine learning. CoRR (2023)
Kurtis Haut, Caleb Wohn, Benjamin Kane, Thomas Carroll, Cathrine Guigno, Varun Kumar, Ronald M. Epstein, Lenhart Schuber, Ehsan Hoque
Validating a virtual human and automated feedback system for training doctor-patient communication skills. ACII (2023)
Varun Kumar, Ishan Budhiraja, Akansha Singh, Rajat Chaudhary, Srinivas Aluvala
Energy-Efficient THz NOMA-Enabled Small Cells Underlaying Macrocell Using Reinforcement Learning. ANTS (2023)
Simranjeet Singh, Varun Kumar, Subhasis Bhattacharjee
An Integrated Approach to Point Labeling Problem. ICCCNT (2023)
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)
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)
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)
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, 172-181. Mechatron. Syst. Control. 51 (4) (2023)
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)
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 (2022)
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)
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 (2022)
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 (2022)
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)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu
Industry Scale Semi-Supervised Learning for Natural Language Understanding. CoRR (2021)
Anjeneya Swami Kare, Varun Kumar
Heuristics for the Generalized Graph Coloring Problem. ICCCNT (2021)
Luoxin Chen, Francisco Garcia, Varun Kumar, He Xie, Jianhua Lu
Industry Scale Semi-Supervised Learning for Natural Language Understanding. NAACL-HLT (Industry Papers) (2021)
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)
Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
Protoda: Efficient Transfer Learning for Few-Shot Intent Classification. SLT (2021)
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 (2021)
Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification. CoRR (2021)
Varun Kumar, Bibhudatta Satapathy, Wilfred Kisku, Amandeep Kaur, Deepak Mishra
CMOS image sensor with adaptive readout scheme for low power applications. MWSCAS (2021)
Prabhat Kumar, Poonam Singh, Varun Kumar
Performance Analysis of RZF precoding and Mean based Calibration for Channel Reciprocity. ICCCS (2020)
VirenViraj Shankar, Varun Kumar, Umesh Devagade, Vinay Karanth, K. Rohitaksha
Heart Disease Prediction Using CNN Algorithm. SN Comput. Sci. 1 (3) (2020)
Varun Kumar, Sarat Kumar Patra, Poonam Singh
Mean-based reciprocity calibration in TDD massive MIMO system. IET Commun. 14 (22) (2020)
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)
Varun Kumar, Ashutosh Choudhary, Eunah Cho
Data Augmentation using Pre-trained Transformer Models. CoRR (2020)
Eunah Cho, He Xie, John P. Lalor, Varun Kumar, William M. Campbell
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. CoRR (2019)
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)
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)
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)
Jasmin Jahic, Varun Kumar, Pablo Oliveira Antonino, Gerhard Wirrer
Testing the Implementation of Concurrent AUTOSAR Drivers Against Architecture Decisions. ICSA (2019)
Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. CoRR (2019)
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)
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 (2019)
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)
Varun Kumar, Sudhansu Arya, Sarat Kumar Patra
Achievable rate and power efficiency in uplink massive MIMO system under antenna correlation. ANTS (2017)
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) (2017)
Varun Kumar, Niranjan Pedanekar
Mining Shapes of Expertise in Online Social Q&A Communities. CSCW Companion (2016)
Amin Abbasalipour, Mohammad Mahdavi, Varun Kumar, Siavash Pourkamali, Soheil Daryadel, Majid Minary
Nano-precision micromachined frequency output profilometer. IEEE SENSORS (2016)
Alireza Ramezany, Vahid Qaradaghi, Varun Kumar, Siavash Pourkamali
Frequency modulated electrostatically coupled resonators for sensing applications. IEEE SENSORS (2016)
Shilpa Pal, Dipti Singh, Varun Kumar
Hybrid SOMA: A Tool for Optimizing TMD Parameters. SocProS (1) (2016)
Ayah Zirikly, Varun Kumar, Philip Resnik
The GW/UMD CLPsych 2016 Shared Task System. CLPsych@HLT-NAACL (2016)
Vahid Qaradaghi, Mohammad Mahdavi, Varun Kumar, Siavash Pourkamali
Frequency output MEMS resonator on membrane pressure sensors. IEEE SENSORS (2016)
Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar
Automatically augmenting learning material with practical questions to increase its relevance. FIE (2015)
Varun Kumar, Savita Bhat, Niranjan Pedanekar
Stickipedia: A Search Engine and Repository for Explanatory Analogies. ICALT (2015)
Varun Kumar, Gora Chand Nandi, Rahul Kala
Static hand gesture recognition using stacked Denoising Sparse Autoencoders. IC3 (2014)
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)
Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar
Assessing the Need of Augmenting Video Lectures with Supporting Information. HCI (14) (2014)
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 (2014)
Varun Kumar, Savita Bhat, Niranjan Pedanekar
Automatically Retrieving Explanatory Analogies from Webpages. ECIR (2014)
Naman Gandhi, Vinit Gaikwad, Pratik Kasat, Nikita Garg, Abhay Doke, Varun Kumar, Shirish Subhash Karande, Vijayanand Banahatti, Niranjan Pedanekar
PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks. APCHI (2013)
Rajanish Dass, Varun Kumar
Kaal - A Real Time Stream Mining Algorithm. HICSS (2010)
Varun Kumar, M. K. Gupta, Ashish Chaturvedi, Anuj Bhardwaj, Manu Pratap Singh
Click to Zoom-Inside Graphical Authentication. ICDIP (2009)
Peng Wang, Varun Kumar, Maneesha Singh
Multiresolution Estimates of Classification Complexity and Multiple Subspace Classifiers for Understanding and Solving Complex Recognition Tasks. SPPRA (2006)
Abhinav Ray, Varun Kumar
Safety-Automation of Cars Using Embedded Microcontrollers. CIMCA/IAWTIC (2005)