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ORCIDDhruv Kumar 0001
Person information
- affiliation: IIIT Delhi, New Delhi, India
- affiliation (former): University of Minnesota, Twin Cities, USA
Other persons with the same name
- Dhruv Kumar 0002 — University of Massachusetts Amherst, USA
- Dhruv Kumar 0003 — University of New York - University at Buffalo, Buffalo, NY, USA
- Dhruv Kumar 0004 — Indian Institute of Technology Madras, India
- Dhruv Kumar 0005 — University of Waterloo, Canada
- Dhruv Kumar 0006 — Rancho Bernardo High School, San Diego, CA, USA
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2020 – today
- 2024
[c15]Ritvik Budhiraja
, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, Dhruv Kumar:
"\"It's not like Jarvis✱. ACE 2024: 124-133- [c14]Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, Mohammad Osama Ataullah, Sayan Mitra, Harshal D. Akolekar, Dhruv Kumar:
ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions. SIGCSE (1) 2024: 625-631 - [i11]Harshal Dev, Raj Gupta, Dhruv Kumar:
From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users. CoRR abs/2401.09937 (2024) - [i10]Henansh Tanwar, Kunal Shrivastva, Rahul Singh, Dhruv Kumar:
OpineBot: Class Feedback Reimagined Using a Conversational LLM. CoRR abs/2401.15589 (2024) - [i9]Manas Mhasakar, Shikhar Sharma, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, Kashish Mittal:
Comuniqa : Exploring Large Language Models for improving speaking skills. CoRR abs/2401.15595 (2024) - [i8]Aryaman Raina, Prateek Mishra, Harshit Goyal, Dhruv Kumar:
AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare. CoRR abs/2401.15605 (2024) - [i7]Vibhor Agarwal, Nakul Thureja, Madhav Krishan Garg, Sahiti Dharmavaram, Meghna, Dhruv Kumar:
"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India. CoRR abs/2402.01687 (2024) - 2023
- [c13]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGridW 2023: 308-310 - [c12]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. CCGrid 2023: 414-425 - [e1]Vikram Goyal, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, Dhruv Kumar:
Big Data and Artificial Intelligence - 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings. Lecture Notes in Computer Science 14418, Springer 2023, ISBN 978-3-031-49600-4 [contents] - [i6]Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, M. Osama Ataullah, Sayan Mitra, Dhruv Kumar, Harshal D. Akolekar:
ChatGPT - a Blessing or a Curse for Undergraduate Computer Science Students and Instructors? CoRR abs/2304.14993 (2023) - [i5]Ishika Joshi, Ritvik Budhiraja, Pranav Deepak Tanna, Lovenya Jain, Mihika Deshpande, Arjun Srivastava, Srinivas Rallapalli, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar:
"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education. CoRR abs/2309.10694 (2023) - [i4]Ishika Joshi, Ritvik Budhiraja, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar:
"It's not like Jarvis, but it's pretty close!" - Examining ChatGPT's Usage among Undergraduate Students in Computer Science. CoRR abs/2311.09651 (2023) - [i3]Anishka, Atharva Mehta, Nipun Gupta, Dhruv Kumar, Pankaj Jalote:
Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course? CoRR abs/2312.07343 (2023) - [i2]Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, Dhruv Kumar:
A Comparative Analysis of Large Language Models for Code Documentation Generation. CoRR abs/2312.10349 (2023) - [i1]Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote:
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools. CoRR abs/2312.10622 (2023) - 2022
- [c11]Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman:
Towards WAN-aware join sampling over geo-distributed data. EdgeSys@EuroSys 2022: 13-18 - [c10]Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra:
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. IPDPS 2022: 985-995 - 2021
- [c9]Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra:
Accelerated Training via Device Similarity in Federated Learning. EdgeSys@EuroSys 2021: 31-36 - [c8]Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman:
AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics. SEC 2021: 297-311 - 2020
- [j3]Poonam Goyal, Jagat Sesh Challa, Dhruv Kumar, Anuvind Bhat, Sundar Balasubramaniam, Navneet Goyal:
Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining. Int. J. Data Sci. Anal. 10(1): 25-47 (2020) - [c7]Yuanli Wang, Dhruv Kumar, Abhishek Chandra:
Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning. SEC 2020: 164-166
2010 – 2019
- 2019
- [j2]Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman:
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 29:1-29:27 (2019) - [c6]Dhruv Kumar, Aravind Alagiri Ramkumar, Rohit Sindhu, Abhishek Chandra:
DeCaf: Iterative Collaborative Processing over the Edge. HotEdge 2019 - [c5]Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman:
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. SIGMETRICS (Abstracts) 2019: 15-16 - 2018
- [j1]Dhruv Kumar, Poonam Goyal, Navneet Goyal:
An efficient method for batch updates in OPTICS cluster ordering. Int. J. Data Anal. Tech. Strateg. 10(1): 57-80 (2018) - 2017
- [c4]Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal:
Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms. ICDCN 2017: 14 - 2016
- [c3]Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal:
A Fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality. HPCC/SmartCity/DSS 2016: 268-275 - 2015
- [c2]Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, Jagat Sesh Challa:
Parallelizing OPTICS for Commodity Clusters. ICDCN 2015: 33:1-33:10 - 2014
- [c1]Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal:
Parallelizing OPTICS for multicore systems. COMPUTE 2014: 17:1-17:6
Coauthor Index
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last updated on 2024-04-25 02:07 CEST by the dblp team
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