Dhruv Kumar

88 papers A* 2A 1B 1C 3Misc 4Journal 60Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — conf
A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews.
EACL (Industry Track)
Aakash Trivedi, Aniket Upadhyay, Pratik Narang, Dhruv Kumar, Praveen Kumar
2026 J jnl
A Hybrid Supervised-LLM Pipeline for Actionable Suggestion Mining in Unstructured Customer Reviews.
CoRR
Aakash Trivedi, Aniket Upadhyay, Pratik Narang, Dhruv Kumar, Praveen Kumar
2026 J jnl
A Multi-Agent System for Generating Actionable Business Advice.
CoRR
Kartikey Singh Bhandari, Tanish Jain, Archit Agrawal, Dhruv Kumar, Praveen Kumar, Pratik Narang
2026 J jnl
Actionable Advice from Reviews via Mixture of LoRA Experts: A Two-LLM Pipeline for Issue Extraction and Business Recommendations.
CoRR
Kartikey Singh Bhandari, Manav Ganesh, Yashwant Viswanathan, Archit Agrawal, Dhruv Kumar, Pratik Narang
2026 A* conf
BLEND: Balanced and Leaf-Enhanced Dual Fine-Tuning for Taxonomy Completion.
WWW
Pankaj, Dhruv Kumar, Vinayak Abrol, Vikram Goyal
2026 J jnl
Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India.
CoRR
Rakshita Goel, S. Pranav Kumar, Anmol Agrawal, Divyan Poddar, Pratik Narang, Dhruv Kumar
2026 J jnl
Evaluating Novelty in AI-Generated Research Plans Using Multi-Workflow LLM Pipelines.
CoRR
Devesh Saraogi, Rohit Singhee, Dhruv Kumar
2026 J jnl
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning.
Trans. Mach. Learn. Res.
Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa
2026 J jnl
Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows.
CoRR
Aditya Sharan, Sriram Hebbale, Dhruv Kumar
2026 J jnl
PhysicsSolutionAgent: Towards Multimodal Explanations for Numerical Physics Problem Solving.
CoRR
Aditya Thole, Anmol Agrawal, Arnav Ramamoorthy, Dhruv Kumar
2026 — conf
SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control.
ICAART (4)
Adithya Chittem, Aishna Shrivastava, Sai Tarun Pendela, Jagat Sesh Challa, Dhruv Kumar
2026 J jnl
TabPFN Through The Looking Glass: An interpretability study of TabPFN and its internal representations.
CoRR
Aviral Gupta, Armaan Sethi, Dhruv Kumar
2026 J jnl
The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation.
CoRR
Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Murari Mandal, Vinay Chamola, Dhruv Kumar
2026 J jnl
The Language of Bargaining: Linguistic Effects in LLM Negotiations.
CoRR
Stuti Sinha, Himanshu Kumar, Aryan Raju Mandapati, Rakshit Sakhuja, Dhruv Kumar
2026 J jnl
Trust Regions Sell, But Who's Buying? Overlap Geometry as an Alternative Trust Region for Policy Optimization.
CoRR
Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari, Yash Sinha, Pratik Narang, Dhruv Kumar, Jagat Sesh Challa
2025 C conf
Analyzing LLM Usage in an Advanced Computing Class in India.
ACE
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 J jnl
Automated Type Annotation in Python Using Large Language Models.
CoRR
Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote
2025 J jnl
Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection.
CoRR
Chinmay Pushkar, Sanchit Kabra, Dhruv Kumar, Jagat Sesh Challa
2025 — conf
Combining Reasoning Optimized LLMs and SMT Solvers for Automated Loop Invariant Synthesis.
AIware
Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote
2025 J jnl
Confidence is Not Competence.
CoRR
Debdeep Sanyal, Manya Pandey, Dhruv Kumar, Saurabh Deshpande, Murari Mandal
2025 J jnl
CricBench: A Multilingual Benchmark for Evaluating LLMs in Cricket Analytics.
CoRR
Vaibhav Devraj, Dhruv Kumar, Jagat Sesh Challa
2025 J jnl
DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models.
CoRR
Utkarsh Tiwari, Aryan Seth, Adi Mukherjee, Kaavya Mer, Kavish, Dhruv Kumar
2025 J jnl
Disentangling Polysemantic Neurons with a Null-Calibrated Polysemanticity Index and Causal Patch Interventions.
CoRR
Manan Gupta, Dhruv Kumar
2025 J jnl
Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline.
CoRR
Akshaj Prashanth Rao, Advait Singh, Saumya Kumaar Saksena, Dhruv Kumar
2025 J jnl
Evaluating LLMs for Zeolite Synthesis Event Extraction (ZSEE): A Systematic Analysis of Prompting Strategies.
CoRR
Charan Prakash Rathore, Saumi Ray, Dhruv Kumar
2025 J jnl
From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs.
CoRR
Shubham Mishra, Samyek Jain, Gorang Mehrishi, Shiv Tiwari, Harsh Sharma, Pratik Narang, Dhruv Kumar
2025 J jnl
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Learning.
CoRR
Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa
2025 J jnl
HAEPO: History-Aggregated Exploratory Policy Optimization.
CoRR
Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa
2025 J jnl
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style.
CoRR
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal
2025 A* conf
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles.
EMNLP
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal
2025 J jnl
Investigating Spatial Attention Bias in Vision-Language Models.
CoRR
Aryan Chaudhary, Sanchit Goyal, Pratik Narang, Dhruv Kumar
2025 J jnl
Large Language Models as Pokémon Battle Agents: Strategic Play and Content Generation.
CoRR
Daksh Jain, Aarya Jain, Ashutosh Desai, Avyakt Verma, Ishan Bhanuka, Pratik Narang, Dhruv Kumar
2025 J jnl
Lights, Camera, Consistency: A Multistage Pipeline for Character-Stable AI Video Stories.
CoRR
Chayan Jain, Rishant Sharma, Archit Garg, Ishan Bhanuka, Pratik Narang, Dhruv Kumar
2025 J jnl
Loop Invariant Generation: A Hybrid Framework of Reasoning optimised LLMs and SMT Solvers.
CoRR
Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote
2025 J jnl
Navigating the Reality Gap: Privacy-Preserving On-Device Continual Adaptation of ASR for Clinical Telephony.
CoRR
Darshil Chauhan, Adityasinh Solanki, Vansh Patel, Kanav Kapoor, Ritvik Jain, Aditya Bansal, Pratik Narang, Dhruv Kumar
2025 J jnl
Policy Optimization Prefers The Path of Least Resistance.
CoRR
Debdeep Sanyal, Aakash Sen Sharma, Dhruv Kumar, Saurabh Deshpande, Murari Mandal
2025 — conf
ReviewEval: An Evaluation Framework for AI-Generated Reviews.
EMNLP (Findings)
Madhav Krishan Garg, Tejash Prasad, Tanmay Singhal, Chhavi Kirtani, Murari Mandal, Dhruv Kumar
2025 J jnl
ReviewEval: An Evaluation Framework for AI-Generated Reviews.
CoRR
Chhavi Kirtani, Madhav Krishan Garg, Tejash Prasad, Tanmay Singhal, Murari Mandal, Dhruv Kumar
2025 J jnl
Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary Planning.
CoRR
Vikranth Udandarao, Noel Abraham Tiju, Muthuraj Vairamuthu, Harsh Mistry, Dhruv Kumar
2025 J jnl
Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics.
CoRR
Aditya Pathak, Rachit Gandhi, Vaibhav Uttam, Devansh, Yashwanth Nakka, Aaryan Raj Jindal, Pratyush Ghosh, Arnav Ramamoorthy, Shreyash Verma, Aditya Mittal, Aashna Ased, Chirag Khatri, Jagat Sesh Challa, Dhruv Kumar
2025 — conf
Rubric Is All You Need: Improving LLM-Based Code Evaluation With Question-Specific Rubrics.
ICER (1)
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 J jnl
SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control.
CoRR
Adithya Chittem, Aishna Shrivastava, Sai Tarun Pendela, Jagat Sesh Challa, Dhruv Kumar
2025 J jnl
Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback.
CoRR
Raj Gupta, Harshit Goyal, Dhruv Kumar, Apurv Mehra, Sanchit Sharma, Kashish Mittal, Jagat Sesh Challa
2025 J jnl
Talking with Oompa Loompas: A novel framework for evaluating linguistic acquisition of LLM agents.
CoRR
Sankalp Tattwadarshi Swain, Anshika Krishnatray, Dhruv Kumar, Jagat Sesh Challa
2025 J jnl
The Impact of Large Language Models on K-12 Education in Rural India: A Thematic Analysis of Student Volunteer's Perspectives.
CoRR
Harshil Goyal, Garima Garg, Prisha Mordia, Veena Ramachandran, Dhruv Kumar, Jagat Sesh Challa
2025 J jnl
Toward Intelligent Scene Augmentation for Context-Aware Object Placement and Sponsor-Logo Integration.
CoRR
Unnati Saraswat, Tarun Rao, Namah Gupta, Shweta Swami, Shikhar Sharma, Prateek Narang, Dhruv Kumar
2025 J jnl
Transformers for Vision: A Survey on Innovative Methods for Computer Vision.
IEEE Access
Balamurugan Palanisamy, Vikas Hassija, Arpita Chatterjee, Arpita Mandal, Debanshi Chakraborty, Amit Pandey, G. Sai Sesha Chalapathi, Dhruv Kumar
2025 J jnl
Understanding Virality: A Rubric based Vision-Language Model Framework for Short-Form Edutainment Evaluation.
CoRR
Arnav Gupta, Gurekas Singh Sahney, Hardik Rathi, Abhishek Chandwani, Ishaan Gupta, Pratik Narang, Dhruv Kumar
2025 J jnl
When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection.
CoRR
Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Jahnvi Singh, Vinay Chamola, Yash Sinha, Murari Mandal, Dhruv Kumar
2025 J jnl
neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings.
CoRR
Ojas Pungalia, Rashi Upadhyay, Abhishek Mishra, Abhiram H, Tejasvi Alladi, Sujan Yenuganti, Dhruv Kumar
2025 J jnl
time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models.
CoRR
Debdeep Sanyal, Aaryan Nagpal, Dhruv Kumar, Murari Mandal, Saurabh Deshpande
2024 J jnl
"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India.
CoRR
Vibhor Agarwal, Nakul Thureja, Madhav Krishan Garg, Sahiti Dharmavaram, Meghna, Dhruv Kumar
2024 C conf
"\"It's not like Jarvis✱.
ACE
Ritvik Budhiraja, Ishika Joshi, Jagat Sesh Challa, Harshal D. Akolekar, Dhruv Kumar
2024 — conf
A Comparative Analysis of Large Language Models for Code Documentation Generation.
AIware
Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, Dhruv Kumar
2024 J jnl
AI as a Medical Ally: Evaluating ChatGPT's Usage and Impact in Indian Healthcare.
CoRR
Aryaman Raina, Prateek Mishra, Harshit Goyal, Dhruv Kumar
2024 J jnl
Analyzing LLM Usage in an Advanced Computing Class in India.
CoRR
Chaitanya Arora, Utkarsh Venaik, Pavit Singh, Sahil Goyal, Jatin Tyagi, Shyama Goel, Ujjwal Singhal, Dhruv Kumar
2024 — conf
ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions.
SIGCSE (1)
Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, Mohammad Osama Ataullah, Sayan Mitra, Harshal D. Akolekar, Dhruv Kumar
2024 J jnl
Comuniqa : Exploring Large Language Models for improving speaking skills.
CoRR
Manas Mhasakar, Shikhar Sharma, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, Kashish Mittal
2024 C conf
Comuniqa: Exploring Large Language Models For Improving English Speaking Skills.
COMPASS
Shikhar Sharma, Manas Mhasakar, Apurv Mehra, Utkarsh Venaik, Ujjwal Singhal, Dhruv Kumar, Kashish Mittal
2024 — conf
From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users.
CHI Extended Abstracts
Harshal Dev, Raj Gupta, Dhruv Kumar
2024 J jnl
From Cash to Cashless: UPI's Impact on Spending Behavior among Indian Users.
CoRR
Harshal Dev, Raj Gupta, Dhruv Kumar
2024 J jnl
OpineBot: Class Feedback Reimagined Using a Conversational LLM.
CoRR
Henansh Tanwar, Kunal Shrivastva, Rahul Singh, Dhruv Kumar
2024 J jnl
System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT.
CoRR
Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote
2024 J jnl
TAMIGO: Empowering Teaching Assistants using LLM-assisted viva and code assessment in an Advanced Computing Class.
CoRR
Anishka, Diksha Sethi, Nipun Gupta, Shikhar Sharma, Srishti Jain, Ujjwal Singhal, Dhruv Kumar
2024 — conf
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools.
LLM4CODE@ICSE
Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote
2023 J jnl
"It's not like Jarvis, but it's pretty close!" - Examining ChatGPT's Usage among Undergraduate Students in Computer Science.
CoRR
Ishika Joshi, Ritvik Budhiraja, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar
2023 J jnl
"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education.
CoRR
Ishika Joshi, Ritvik Budhiraja, Pranav Deepak Tanna, Lovenya Jain, Mihika Deshpande, Arjun Srivastava, Srinivas Rallapalli, Harshal D. Akolekar, Jagat Sesh Challa, Dhruv Kumar
2023 J jnl
A Comparative Analysis of Large Language Models for Code Documentation Generation.
CoRR
Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, Dhruv Kumar
2023 B conf
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations.
CCGrid
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman
2023 — conf
AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations.
CCGridW
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman
2023 — ed.
Big Data and Artificial Intelligence - 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings
BDA
Vikram Goyal, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, Dhruv Kumar
2023 J jnl
Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?
CoRR
Anishka, Atharva Mehta, Nipun Gupta, Dhruv Kumar, Pankaj Jalote
2023 J jnl
ChatGPT - a Blessing or a Curse for Undergraduate Computer Science Students and Instructors?
CoRR
Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, Mohammad Osama Ataullah, Sayan Mitra, Dhruv Kumar, Harshal D. Akolekar
2023 J jnl
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools.
CoRR
Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote
2022 A conf
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning.
IPDPS
Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, Abhishek Chandra
2022 — conf
Towards WAN-aware join sampling over geo-distributed data.
EdgeSys@EuroSys
Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh K. Sitaraman
2021 — conf
Accelerated Training via Device Similarity in Federated Learning.
EdgeSys@EuroSys
Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra
2021 Misc conf
AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics.
SEC
Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman
2020 J jnl
Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining.
Int. J. Data Sci. Anal.
Poonam Goyal, Jagat Sesh Challa, Dhruv Kumar, Anuvind Bhat, Sundar Balasubramaniam, Navneet Goyal
2020 Misc conf
Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning.
SEC
Yuanli Wang, Dhruv Kumar, Abhishek Chandra
2019 — conf
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics.
SIGMETRICS (Abstracts)
Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman
2019 J jnl
A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics.
Proc. ACM Meas. Anal. Comput. Syst.
Dhruv Kumar, Jian Li, Abhishek Chandra, Ramesh K. Sitaraman
2019 — conf
DeCaf: Iterative Collaborative Processing over the Edge.
HotEdge
Dhruv Kumar, Aravind Alagiri Ramkumar, Rohit Sindhu, Abhishek Chandra
2018 J jnl
An efficient method for batch updates in OPTICS cluster ordering.
Int. J. Data Anal. Tech. Strateg.
Dhruv Kumar, Poonam Goyal, Navneet Goyal
2017 Misc conf
Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms.
ICDCN
Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal
2016 — conf
A Fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality.
HPCC/SmartCity/DSS
Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal
2015 Misc conf
Parallelizing OPTICS for Commodity Clusters.
ICDCN
Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, Jagat Sesh Challa
2014 — conf
Parallelizing OPTICS for multicore systems.
COMPUTE
Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal