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2020 – today
- 2024
[c8]Hong Linh Truong, Maja Vukovic, Raju Pavuluri:
On Coordinating LLMs and Platform Knowledge for Software Modernization and New Developments. SSE 2024: 188-193- [c7]Rangeet Pan
, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand:
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. ICSE 2024: 82:1-82:13 - [i4]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, S. 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:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - [i3]Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha:
Multi-language Unit Test Generation using LLMs. CoRR abs/2409.03093 (2024) - 2023
- [i2]Jiaqing Yuan, Michele Merler, Mihir Choudhury, Raju Pavuluri, Munindar P. Singh, Maja Vukovic:
CoSiNES: Contrastive Siamese Network for Entity Standardization. CoRR abs/2306.03316 (2023) - [i1]Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand:
Understanding the Effectiveness of Large Language Models in Code Translation. CoRR abs/2308.03109 (2023) - 2022
- [j1]Jayant Kalagnanam, Dzung T. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane Cesar Da Silva:
AI-Based Real-Time Site-Wide Optimization for Process Manufacturing. INFORMS J. Appl. Anal. 52(4): 363-378 (2022) - [c6]Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri, Timothy Dinger:
Time Series Representation Learning with Contrastive Triplet Selection. COMAD/CODS 2022: 46-53
2010 – 2019
- 2019
- [c5]Dharmashankar Subramanian, Pavankumar Murali, Nianjun Zhou, Xiang Ma, Giovane Cesar Da Silva, Raju Pavuluri, Jayant Kalagnanam:
A Prediction-Optimization Framework for Site-Wide Process Optimization. ICIOT 2019: 125-132 - [c4]Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus, Kun-Lung Wu:
Automating Multi-level Performance Elastic Components for IBM Streams. Middleware 2019: 163-175 - [c3]Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus, Kun-Lung Wu:
Automated multi-dimensional elasticity for streaming runtimes: poster. PPoPP 2019: 427-428
2000 – 2009
- 2009
- [c2]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:
Implementing a high-volume, low-latency market data processing system on commodity hardware using IBM middleware. SC-WHPCF 2009 - 2007
- [c1]Naga Ayachitula, Melissa J. Buco, Yixin Diao, Maheswaran Surendra, Raju Pavuluri, Larisa Shwartz, Christopher Ward:
IT service management automation - A hybrid methodology to integrate and orchestrate collaborative human centric and automation centric workflows. IEEE SCC 2007: 574-581
Coauthor Index
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last updated on 2024-10-14 23:29 CEST by the dblp team
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