publications

2026

1. 

   Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance

   Kaustav Kundu, Ritvik Shrivastava, Maxim Arap, Nanshu Wang, Xianhui Zhu, and 11 more authors

   arXiv preprint arXiv:2606.04970, 2026

   Bib PDF

   @article{kundu2026pwr,
     title = {Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance},
     author = {Kundu, Kaustav and Shrivastava, Ritvik and Arap, Maxim and Wang, Nanshu and Zhu, Xianhui and Fettes, Quintin and Tiwari, Gautam and Suresh, Parth and Moutakanni, Théo and Munoz, Alejandro Castillejo and Bolourchi, Allen and Fung, Pascale and Donmez, Pinar and Damavandi, Babak and Kumar, Anuj and Moon, Seungwhan},
     journal = {arXiv preprint arXiv:2606.04970},
     year = {2026},
   }

2. 

   CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark

   Jiaqi Wang, Xiao Yang, Kai Sun, Parth Suresh, Sanat Sharma, and 36 more authors

   In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026

   Best Paper Bib PDF

   Best Paper Award at KDD 2026 in the Datasets and Benchmarks track

   @inproceedings{wang2025cragmm,
     title = {{CRAG-MM}: Multi-modal Multi-turn Comprehensive {RAG} Benchmark},
     author = {Wang, Jiaqi and Yang, Xiao and Sun, Kai and Suresh, Parth and Sharma, Sanat and Czyzewski, Adam and Andersen, Derek and Appini, Surya and Banerjee, Arkav and Choudhary, Sajal and Ghasemlou, Shervin and Guan, Ziqiang and Iyer, Akil and Khan, Haidar and Kong, Lingkun and Luo, Roy and Ma, Tiffany and Qiao, Zhen and Tran, David and Xu, Wenfang and Yeatman, Skyler and Zhou, Chen and Gujral, Gunveer and Xia, Yinglong and Moon, Shane and Scheffer, Nicolas and Shah, Nirav and Chang, Eun and Liu, Yue and Metze, Florian and Stark, Tammy and Feizollahi, Zhaleh and Jessee, Andrea and Pujari, Mangesh and Aly, Ahmed and Damavandi, Babak and Wanga, Rakesh and Kumar, Anuj and Patel, Rohit and Yih, Wen-tau and Dong, Xin Luna},
     booktitle = {Proceedings of the {ACM} {SIGKDD} Conference on Knowledge Discovery and Data Mining ({KDD})},
     year = {2026},
   }

2025

1. 

   Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders

   Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, and 4 more authors

   ACM Transactions on Software Engineering and Methodology, 2025

   Bib PDF

   @article{rigby2025code,
     title = {Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders},
     author = {Rigby, Peter C. and Rogers, Seth and Saleem, Sadruddin and Suresh, Parth and Suskin, Daniel and Riggs, Patrick and Maddila, Chandra and Nagappan, Nachiappan and Mockus, Audris},
     journal = {ACM Transactions on Software Engineering and Methodology},
     volume = {35},
     number = {1},
     pages = {1--23},
     year = {2025},
   }

2024

1. 

   Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMs

   Yung-Chieh Chan, George Pu, Apaar Shanker, Parth Suresh, Penn Jenks, and 2 more authors

   In Fine-Tuning in Machine Learning (FITML) Workshop at NeurIPS, 2024

   Bib PDF

   @inproceedings{chan2024balancing,
     title = {Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for {LLMs}},
     author = {Chan, Yung-Chieh and Pu, George and Shanker, Apaar and Suresh, Parth and Jenks, Penn and Heyer, John and Denton, Sam},
     booktitle = {Fine-Tuning in Machine Learning ({FITML}) Workshop at {NeurIPS}},
     year = {2024},
   }

2023

1. 

   Modeling the Centrality of Developer Output with Software Supply Chains

   Audris Mockus, Peter C. Rigby, Rui Abreu, Parth Suresh, Yifen Chen, and 1 more author

   In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

   Bib PDF

   @inproceedings{mockus2023centrality,
     title = {Modeling the Centrality of Developer Output with Software Supply Chains},
     author = {Mockus, Audris and Rigby, Peter C. and Abreu, Rui and Suresh, Parth and Chen, Yifen and Nagappan, Nachiappan},
     booktitle = {Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
     pages = {1809--1819},
     year = {2023},
   }

2021

1. 

   Accurate brain age prediction using recurrent slice-based networks

   Pradeep K. Lam, Vigneshwaran Santhalingam, Parth Suresh, Rahul Baboota, Alyssa H. Zhu, and 3 more authors

   In 17th International Symposium on Medical Information Processing and Analysis, 2021

   Bib PDF Code

   @inproceedings{lam2021brainage,
     title = {Accurate brain age prediction using recurrent slice-based networks},
     author = {Lam, Pradeep K. and Santhalingam, Vigneshwaran and Suresh, Parth and Baboota, Rahul and Zhu, Alyssa H. and Thomopoulos, Sophia I. and Jahanshad, Neda and Thompson, Paul M.},
     booktitle = {17th International Symposium on Medical Information Processing and Analysis},
     year = {2021},
   }

2018

1. 

   Subband Weighting for Binaural Speech Source Localization

   Karthik Girija Ramesan, Parth Suresh, and Prasanta Kumar Ghosh

   In Interspeech, 2018

   Bib PDF

   @inproceedings{girija2018subband,
     title = {Subband Weighting for Binaural Speech Source Localization},
     author = {{Girija Ramesan}, Karthik and Suresh, Parth and Ghosh, {Prasanta Kumar}},
     booktitle = {Interspeech},
     pages = {861--865},
     year = {2018},
   }