Dhruv Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
17
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | From Trust to Compromise: Outcome-Verified LLM Phishing Simulation and Real-Time Defense. | Tulika Tewari, Nalin Asanka Gamagedara Arachchilage, Jagat Sesh Challa, Dhruv Kumar |
| 2026 | EACL | A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews. | Aakash Trivedi, Aniket Upadhyay, Pratik Narang, Dhruv Kumar, Praveen Kumar |
| 2026 | ICAART | SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control. | Adithya Chittem, Aishna Shrivastava, Sai Tarun Pendela, Jagat Sesh Challa, Dhruv Kumar |
| 2026 | WWW | BLEND: Balanced and Leaf-Enhanced Dual Fine-Tuning for Taxonomy Completion. | Pankaj, Dhruv Kumar, Vinayak Abrol, Vikram Goyal |
| 2026 | WWW | Roamify: An Interactive Browser Extension for Real-Time LLM-Based Travel Itinerary Generation. | Vikranth Udandarao, Muthuraj Vairamuthu, Noel Abraham Tiju, Harsh Mistry, Armaan Singh, Dhruv Kumar |
| 2025 | ACE | Analyzing LLM Usage in an Advanced Computing Class in India. | Utkarsh Arora, Anupam Garg, Aryan Gupta, Samyak Jain, Ronit Mehta, Rupin Oberoi, Prachi, Aryaman Raina, Manav Saini, Sachin Sharma, Jaskaran Singh, Sarthak Tyagi, Dhruv Kumar |
| 2025 | EMNLP | ReviewEval: An Evaluation Framework for AI-Generated Reviews. | Madhav Krishan Garg, Tejash Prasad, Tanmay Singhal, Chhavi Kirtani, Murari Mandal, Dhruv Kumar |
| 2025 | EMNLP | Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles. | Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal |
| 2025 | ICER | Rubric Is All You Need: Improving LLM-Based Code Evaluation With Question-Specific Rubrics. | Aditya Pathak, Rachit Gandhi, Vaibhav Uttam, Arnav Ramamoorthy, Pratyush Ghosh, Aaryan Raj Jindal, Shreyash Verma, Aditya Mittal, Aashna Ased, Chirag Khatri, Yashwanth Nakka, Devansh, Jagat Sesh Challa, Dhruv Kumar |
| 2025 | ICRA | Multi-Agent Inverse Q-Learning from Demonstrations. | Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Biyik |
| 2024 | ACE | "\"It's not like Jarvis✱. | Ritvik Budhiraja, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, Dhruv Kumar |
| 2024 | CHI | From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users. | Harshal Dev, Raj Gupta, Dhruv Kumar |
| 2024 | ICRA | JacobiGPU: GPU-Accelerated Numerical Differentiation for Loop Closure in Visual SLAM. | Dhruv Kumar, Shishir Gopinath, Karthik Dantu, Steven Y. Ko |
| 2024 | NAACL | ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models. | Jierui Li, Vipul Raheja, Dhruv Kumar |
| 2024 | NAACL | mEdIT: Multilingual Text Editing via Instruction Tuning. | Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar |
| 2024 | SIGCSE | 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 |
| 2023 | CCGRID | AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. | Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman |
| 2023 | CCGRID | AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. | Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman |
| 2023 | EMNLP | Speakerly: A Voice-based Writing Assistant for Text Composition. | Dhruv Kumar, Vipul Raheja, Alice Kaiser-Schatzlein, Robyn Perry, Apurva Joshi, Justin Hugues-Nuger, Samuel Lou, Navid Chowdhury |
| 2023 | EMNLP | CoEdIT: Text Editing by Task-Specific Instruction Tuning. | Vipul Raheja, Dhruv Kumar, Ryan Koo, Dongyeop Kang |
| 2022 | ACL | GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. | Mohammad Dehghan, Dhruv Kumar, Lukasz Golab |
| 2022 | ACL | Understanding Iterative Revision from Human-Written Text. | Wanyu Du, Vipul Raheja, Dhruv Kumar, Zae Myung Kim, Melissa Lopez, Dongyeop Kang |
| 2022 | EMNLP | Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks. | Zae Myung Kim, Wanyu Du, Vipul Raheja, Dhruv Kumar, Dongyeop Kang |
| 2022 | EuroSys | Towards WAN-aware join sampling over geo-distributed data. | Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman |
| 2021 | ACL | Optimizing Deeper Transformers on Small Datasets. | Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao |
| 2021 | EuroSys | Accelerated Training via Device Similarity in Federated Learning. | Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra |
| 2020 | ACL | Iterative Edit-Based Unsupervised Sentence Simplification. | Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova |
| 2020 | AI | Sensitivity to Risk Profiles of Users When Developing AI Systems. | Robin Cohen, Rishav Raj Agarwal, Dhruv Kumar, Alexandre Parmentier, Tsz Him Leung |
| 2019 | SIGMETRICS | A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics. | Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman |
| 2017 | ICDCN | Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms. | Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal |
| 2016 | HPCC | 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 |
| 2015 | ICDCN | Parallelizing OPTICS for Commodity Clusters. | Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, Jagat Sesh Challa |