Dhruv Kumar

According to our database, Dhruv Kumar authored at least 31 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT.

Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote

CoRR, 2024

TAMIGO: Empowering Teaching Assistants using LLM-assisted viva and code assessment in an Advanced Computing Class.

Anishka, Diksha Sethi, Nipun Gupta, Shikhar Sharma, Srishti Jain, Ujjwal Singhal, Dhruv Kumar

CoRR, 2024

Analyzing LLM Usage in an Advanced Computing Class in India.

Chaitanya Arora, Utkarsh Venaik, Pavit Singh, Sahil Goyal, Jatin Tyagi, Shyama Goel, Ujjwal Singhal, Dhruv Kumar

CoRR, 2024

"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India.

Vibhor Agarwal, Nakul Thureja, Madhav Krishan Garg, Sahiti Dharmavaram, Meghna, Dhruv Kumar

CoRR, 2024

AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare.

Aryaman Raina, Prateek Mishra, Harshit Goyal, Dhruv Kumar

CoRR, 2024

Comuniqa : Exploring Large Language Models for improving speaking skills.

Manas Mhasakar, Shikhar Sharma, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, Kashish Mittal

CoRR, 2024

OpineBot: Class Feedback Reimagined Using a Conversational LLM.

Henansh Tanwar, Kunal Shrivastva, Rahul Singh, Dhruv Kumar

CoRR, 2024

ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions.

Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, Mohammad Osama Ataullah, Sayan Mitra, Harshal D. Akolekar, Dhruv Kumar

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools.

Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote

LLM4CODE@ICSE, 2024

Comuniqa: Exploring Large Language Models For Improving English Speaking Skills.

Shikhar Sharma, Manas Mhasakar, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, Kashish Mittal

Proceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2024

From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users.

Harshal Dev, Raj Gupta, Dhruv Kumar

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

A Comparative Analysis of Large Language Models for Code Documentation Generation.

Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, Dhruv Kumar

Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

"\"It's not like Jarvis✱.

Ritvik Budhiraja, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, Dhruv Kumar

Proceedings of the 26th Australasian Computing Education Conference, 2024

2023

Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?

Anishka, Atharva Mehta, Nipun Gupta, Dhruv Kumar, Pankaj Jalote

CoRR, 2023

"It's not like Jarvis, but it's pretty close!" - Examining ChatGPT's Usage among Undergraduate Students in Computer Science.

Ishika Joshi, Ritvik Budhiraja, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar

CoRR, 2023

"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education.

Ishika Joshi, Ritvik Budhiraja, Pranav Deepak Tanna, Lovenya Jain, Mihika Deshpande, Arjun Srivastava, Srinivas Rallapalli, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar

CoRR, 2023

ChatGPT - a Blessing or a Curse for Undergraduate Computer Science Students and Instructors?

Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, M. Osama Ataullah, Sayan Mitra, Dhruv Kumar, Harshal D. Akolekar

CoRR, 2023

AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations.

Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning.

Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Towards WAN-aware join sampling over geo-distributed data.

Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman

Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

2021

AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics.

Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Accelerated Training via Device Similarity in Federated Learning.

Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra

Proceedings of the EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, 2021

2020

Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining.

Poonam Goyal, Jagat Sesh Challa, Dhruv Kumar, Anuvind Bhat, Sundar Balasubramaniam, Navneet Goyal

Int. J. Data Sci. Anal., 2020

Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning.

Yuanli Wang, Dhruv Kumar, Abhishek Chandra

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019

A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics.

Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman

Proc. ACM Meas. Anal. Comput. Syst., 2019

DeCaf: Iterative Collaborative Processing over the Edge.

Dhruv Kumar, Aravind Alagiri Ramkumar, Rohit Sindhu, Abhishek Chandra

Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing, 2019

2018

An efficient method for batch updates in OPTICS cluster ordering.

Dhruv Kumar, Poonam Goyal, Navneet Goyal

Int. J. Data Anal. Tech. Strateg., 2018

2017

Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms.

Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal

Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017

2016

A Fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality.

Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2015

Parallelizing OPTICS for Commodity Clusters.

Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, Jagat Sesh Challa

Proceedings of the 2015 International Conference on Distributed Computing and Networking, 2015

2014

Parallelizing OPTICS for multicore systems.

Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal

Proceedings of the 7th ACM India Computing Conference, 2014