Raju Pavuluri

According to our database, Raju Pavuluri authored at least 19 papers between 2007 and 2026.

Collaborative distances:

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

2026

Multi-task Code LLMs: Data Mix or Model Merge?

Mingzhi Zhu, Boris Sobolev, Rahul Krishna, Raju Pavuluri, Stacy Patterson, Michele Merler

CoRR, January, 2026

Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study.

Maja Vukovic, Rangeet Pan, Tin Kam Ho, Rahul Krishna, Raju Pavuluri, Michele Merler

CoRR, January, 2026

2025

SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents.

Rangeet Pan, Raju Pavuluri, Ruikai Huang, Rahul Krishna, Tyler Stennett, Alessandro Orso, Saurabh Sinha

CoRR, November, 2025

Hamster: A Large-Scale Study and Characterization of Developer-Written Tests.

Rangeet Pan, Tyler Stennett, Raju Pavuluri, Nate Levin, Alessandro Orso, Saurabh Sinha

CoRR, September, 2025

Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights.

Rahul Krishna, Rangeet Pan, Saurabh Sinha, Srikanth Tamilselvam, Raju Pavuluri, Maja Vukovic

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

ASTER: Natural and Multi-Language Unit Test Generation with LLMs.

Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

2024

Multi-language Unit Test Generation using LLMs.

Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha

CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Syed Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

CoRR, 2024

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code.

Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

On Coordinating LLMs and Platform Knowledge for Software Modernization and New Developments.

Hong Linh Truong, Maja Vukovic, Raju Pavuluri

Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023

Understanding the Effectiveness of Large Language Models in Code Translation.

Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand

CoRR, 2023

CoSiNES: Contrastive Siamese Network for Entity Standardization.

Jiaqing Yuan, Michele Merler, Mihir Choudhury, Raju Pavuluri, Munindar P. Singh, Maja Vukovic

CoRR, 2023

2022

AI-Based Real-Time Site-Wide Optimization for Process Manufacturing.

Jayant Kalagnanam, Dzung T. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane Cesar Da Silva

INFORMS J. Appl. Anal., 2022

Time Series Representation Learning with Contrastive Triplet Selection.

Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri, Timothy Dinger

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2019

Automated multi-dimensional elasticity for streaming runtimes: poster.

Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus, Kun-Lung Wu

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

Automating Multi-level Performance Elastic Components for IBM Streams.

Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus, Kun-Lung Wu

Proceedings of the 20th International Middleware Conference, 2019

A Prediction-Optimization Framework for Site-Wide Process Optimization.

Dharmashankar Subramanian, Pavankumar Murali, Nianjun Zhou, Xiang Ma, Giovane Cesar Da Silva, Raju Pavuluri, Jayant Kalagnanam

Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019

2009

Implementing a high-volume, low-latency market data processing system on commodity hardware using IBM middleware.

Xiaolan Joy Zhang, Henrique Andrade, Bugra Gedik, Richard King, John F. Morar, Senthil Nathan, Yoonho Park, Raju Pavuluri, Edward Pring, Randall Schnier, Philippe Selo, Michael Spicer, Volkmar Uhlig, Chitra Venkatramani

Proceedings of the 2nd Workshop on High Performance Computational Finance, 2009

2007

IT service management automation - A hybrid methodology to integrate and orchestrate collaborative human centric and automation centric workflows.

Naga Ayachitula, Melissa J. Buco, Yixin Diao, Maheswaran Surendra, Raju Pavuluri, Larisa Shwartz, Christopher Ward

Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007