Dhruv Kumar

Orcid: 0000-0003-4831-1847

Affiliations:
  • IIIT Delhi, New Delhi, India
  • University of Minnesota, Twin Cities, USA (former)


According to our database1, Dhruv Kumar authored at least 27 papers between 2014 and 2024.

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Bibliography

2024
"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India.
CoRR, 2024

AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare.
CoRR, 2024

Comuniqa : Exploring Large Language Models for improving speaking skills.
CoRR, 2024

OpineBot: Class Feedback Reimagined Using a Conversational LLM.
CoRR, 2024

From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users.
CoRR, 2024

ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

"\"It's not like Jarvis✱.
Proceedings of the 26th Australasian Computing Education Conference, 2024

2023
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools.
CoRR, 2023

A Comparative Analysis of Large Language Models for Code Documentation Generation.
CoRR, 2023

Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?
CoRR, 2023

"It's not like Jarvis, but it's pretty close!" - Examining ChatGPT's Usage among Undergraduate Students in Computer Science.
CoRR, 2023

"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education.
CoRR, 2023

ChatGPT - a Blessing or a Curse for Undergraduate Computer Science Students and Instructors?
CoRR, 2023

AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Towards WAN-aware join sampling over geo-distributed data.
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.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Accelerated Training via Device Similarity in Federated Learning.
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.
Int. J. Data Sci. Anal., 2020

Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics.
Proc. ACM Meas. Anal. Comput. Syst., 2019

DeCaf: Iterative Collaborative Processing over the Edge.
Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing, 2019

2018
An efficient method for batch updates in OPTICS cluster ordering.
Int. J. Data Anal. Tech. Strateg., 2018

2017
Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms.
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.
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.
Proceedings of the 2015 International Conference on Distributed Computing and Networking, 2015

2014
Parallelizing OPTICS for multicore systems.
Proceedings of the 7th ACM India Computing Conference, 2014


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