publications | Tarun Kumar

2026

ICML

It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer

Suparna Bhattacharya, Tarun Kumar, Cong Xu, and 7 more authors

In International Conference on Machine Learning (ICML), 2026

@inproceedings{bhattacharya2026virtualize,
  title = {It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer},
  author = {Bhattacharya, Suparna and Kumar, Tarun and Xu, Cong and Mopur, Satish Kumar and Li, Jiahao and Mishra, Ashish and Tripathy, Aalap and Koomthanam, Annmary Justine and Foltin, Martin and Foster, Ian},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
}

ACL

CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language Generation

Ashish Mishra, Tarun Kumar, Arpit Shah, and 2 more authors

In Annual Meeting of the Association for Computational Linguistics (ACL), 2026

Bib

@inproceedings{mishra2026cebc,
  title = {CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision--Language Generation},
  author = {Mishra, Ashish and Kumar, Tarun and Shah, Arpit and Bhattacharya, Suparna and Foltin, Martin},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2026},
}

AAAI

InfrastructureSentinel: Policy-Enforced Guardrails for Secure MCP-driven Infrastructure Agents

Tarun Kumar, Aalap Tripathy, Gayathri Saranathan, and 5 more authors

In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

Bib

@inproceedings{kumar2026infrastructuresentinel,
  title = {InfrastructureSentinel: Policy-Enforced Guardrails for Secure MCP-driven Infrastructure Agents},
  author = {Kumar, Tarun and Tripathy, Aalap and Saranathan, Gayathri and Bhattacharya, Suparna and Foltin, Martin and Hinchley, Scott and Bahls, Donald M and Brookshire, David},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {40},
  number = {47},
  pages = {40295--40301},
  year = {2026},
}

AAAI-W

Beyond Curated Benchmarking: Automated Evaluation of LLM Agents for Safe and Reliable IT Infrastructure Management

Gayathri Saranathan, Aalap Tripathy, Tarun Kumar, and 9 more authors

In AAAI 2026 Workshop on Agentic AI Benchmarks and Applications for Enterprise Tasks, 2026

Bib

@inproceedings{saranathan2026beyond,
  title = {Beyond Curated Benchmarking: Automated Evaluation of LLM Agents for Safe and Reliable IT Infrastructure Management},
  author = {Saranathan, Gayathri and Tripathy, Aalap and Kumar, Tarun and Hinchley, Scott and Foltin, Martin and Holmes, Christopher L and Brookshire, David and Bahls, Donald M and Xu, Cong and Wisniewski, Robert W and Kaplan, Larry and Bhattacharya, Suparna},
  booktitle = {AAAI 2026 Workshop on Agentic AI Benchmarks and Applications for Enterprise Tasks},
  year = {2026},
}

DMLR

The Unreasonable Benchmark

Fernando Perez-Cruz, Briland Hitaj, Giovanna Maria Dimitri, and 8 more authors

Journal of Data-centric Machine Learning Research (DMLR), 2026

Bib

@article{perezcruz2026unreasonable,
  title = {The Unreasonable Benchmark},
  author = {Perez-Cruz, Fernando and Hitaj, Briland and Dimitri, Giovanna Maria and Deb, Oishi and M'Charrak, Amine and Srivastava, Shikhar and Kanan, Christopher and Gupta, Anup Kumar and Liu, Zefang and Kumar, Tarun and others},
  journal = {Journal of Data-centric Machine Learning Research (DMLR)},
  year = {2026},
}

2025

ACL

SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation

Gayathri Saranathan, Cong Xu, Mahammad Parwez Alam, and 4 more authors

In Annual Meeting of the Association for Computational Linguistics (ACL), 2025

Best Theme Paper Bib

Best Theme Paper Award; Oral presentation (top 1% of accepted papers).

@inproceedings{saranathan2025sublime,
  title = {SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation},
  author = {Saranathan, Gayathri and Xu, Cong and Alam, Mahammad Parwez and Kumar, Tarun and Foltin, Martin and Wong, Soon Yee and Bhattacharya, Suparna},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2025},
}

Front. Big Data

Constructing a Metadata Knowledge Graph as an Atlas for Demystifying AI Pipeline Optimization

Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, and 7 more authors

Frontiers in Big Data, 2025

Bib

@article{venkataramanan2025metadata,
  title = {Constructing a Metadata Knowledge Graph as an Atlas for Demystifying AI Pipeline Optimization},
  author = {Venkataramanan, Revathy and Tripathy, Aalap and Kumar, Tarun and Justine, Annmary and Shah, Arpit and Serebryakov, Sergey and Foltin, Martin and Bhattacharya, Suparna and Faraboschi, Paolo and Sheth, Amit},
  journal = {Frontiers in Big Data},
  year = {2025},
}

TPC

Advancing Autonomous Microscopy Agents with Domain-Guided Dynamic Retrieval in a Virtual Foundation Model OS

Gayathri Saranathan, Martin Foltin, Cong Xu, and 12 more authors

In Trillion Parameter Consortium (TPC), 2025

Bib

@inproceedings{saranathan2025microscopy,
  title = {Advancing Autonomous Microscopy Agents with Domain-Guided Dynamic Retrieval in a Virtual Foundation Model OS},
  author = {Saranathan, Gayathri and Foltin, Martin and Xu, Cong and Bhattacharya, Suparna and Justine, Annmary and Kumar, Tarun and Shah, Arpit and Tripathy, Aalap and Sharma, Rishab and Kulkarni, Shreyas and Ziatdinov, Maxim and Ghosh, Ayana and Roccapriore, Kevin and Faraboschi, Paolo and Foster, Ian},
  booktitle = {Trillion Parameter Consortium (TPC)},
  year = {2025},
}

ICLR-W

SubLIME*: Data Efficient Foundation Model Evaluation across Modalities, Languages and Benchmarks

Mahammad Parwez Alam, Gayathri Saranathan, Cong Xu, and 5 more authors

In ICLR 2025 Workshop on Navigating and Addressing Data Problems for Foundation Models, 2025

Bib

@inproceedings{alam2025sublimestar,
  title = {SubLIME*: Data Efficient Foundation Model Evaluation across Modalities, Languages and Benchmarks},
  author = {Alam, Mahammad Parwez and Saranathan, Gayathri and Xu, Cong and Aula-Blasco, Javier and Foltin, Martin and Kumar, Tarun and Wong, Soon Yee and Bhattacharya, Suparna},
  booktitle = {ICLR 2025 Workshop on Navigating and Addressing Data Problems for Foundation Models},
  year = {2025},
}

ICLR-W

Co-optimizing Recommendation and Evaluation for LLM Selection

Tarun Kumar, Cong Xu, Arpit Shah, and 3 more authors

In ICLR 2025 Workshop on Foundation Models in the Wild, 2025

Bib

@inproceedings{kumar2025cooptimizing,
  title = {Co-optimizing Recommendation and Evaluation for LLM Selection},
  author = {Kumar, Tarun and Xu, Cong and Shah, Arpit and Diallo, Baradji and Foltin, Martin and Bhattacharya, Suparna},
  booktitle = {ICLR 2025 Workshop on Foundation Models in the Wild},
  year = {2025},
}

NeurIPS-W

MPSelectTune: Prompt Selection for Fine-tuning Improves Concept Unlearning in LLMs

Shubhadip Nag, Srinjoy Das, Agniva Saha, and 5 more authors

In Reliable ML Workshop at NeurIPS, 2025

Bib

@inproceedings{nag2025mpselecttune,
  title = {MPSelectTune: Prompt Selection for Fine-tuning Improves Concept Unlearning in LLMs},
  author = {Nag, Shubhadip and Das, Srinjoy and Saha, Agniva and Ghosh, Anushree and Das, Soumi and Kumar, Tarun and Bhattacharya, Suparna and Bhattacharya, Sourangshu},
  booktitle = {Reliable ML Workshop at NeurIPS},
  year = {2025},
}

NeurIPS-W

Adaptive Refinement of Time Series Foundation Models via Pattern and Context-Awareness

Ashish Mishra, Tarun Kumar, Satish Kumar Mopur, and 5 more authors

In BERT2S Workshop at NeurIPS, 2025

Bib

@inproceedings{mishra2025adaptive,
  title = {Adaptive Refinement of Time Series Foundation Models via Pattern and Context-Awareness},
  author = {Mishra, Ashish and Kumar, Tarun and Mopur, Satish Kumar and Serebryakov, Sergey and Bhattacharya, Suparna and Foltin, Martin and Vogety, Ramanagopal and Koganti, Phanidhar},
  booktitle = {BERT2S Workshop at NeurIPS},
  year = {2025},
}

2024

WWW-W

LLM-Guided Counterfactual Data Generation for Fairer AI

Ashish Mishra, Gyanaranjan Nayak, Suparna Bhattacharya, and 3 more authors

In DCAI Workshop at The Web Conference (WWW) and DMLR Workshop at ICLR, 2024

Bib

@inproceedings{mishra2024counterfactual,
  title = {LLM-Guided Counterfactual Data Generation for Fairer AI},
  author = {Mishra, Ashish and Nayak, Gyanaranjan and Bhattacharya, Suparna and Kumar, Tarun and Shah, Arpit and Foltin, Martin},
  booktitle = {DCAI Workshop at The Web Conference (WWW) and DMLR Workshop at ICLR},
  year = {2024},
}

CUG

System for Recommendation and Evaluation of Large Language Models for Practical Tasks in Science

Cong Xu, Tarun Kumar, Martin Foltin, and 7 more authors

In Cray User Group (CUG) Conference, 2024

Bib

@inproceedings{xu2024llmrecommendation,
  title = {System for Recommendation and Evaluation of Large Language Models for Practical Tasks in Science},
  author = {Xu, Cong and Kumar, Tarun and Foltin, Martin and Justine, Annmary and Serebryakov, Sergey and Shah, Arpit and Mishra, Ashish and Nayak, Gyanaranjan and Bhattacharya, Suparna and Faraboschi, Paolo},
  booktitle = {Cray User Group (CUG) Conference},
  year = {2024},
}

2023

SIGMOD-W

From Roots to Fruits: Exploring Lineage for Dataset Recommendations

Tarun Kumar, Arpit Shah, Ashish Mishra, and 4 more authors

In Data Economy Workshop at SIGMOD, 2023

Bib

@inproceedings{kumar2023lineage,
  title = {From Roots to Fruits: Exploring Lineage for Dataset Recommendations},
  author = {Kumar, Tarun and Shah, Arpit and Mishra, Ashish and Bhattacharya, Suparna and Mahendran, Arun and Dunning, Ted and Bowden, Glyn},
  booktitle = {Data Economy Workshop at SIGMOD},
  year = {2023},
}

LoG

HEAL: Embedding Multi-layer Hypergraphs

Naganand Yadati, Tarun Kumar, Deepak Maurya, and 2 more authors

In Learning on Graphs Conference (LoG), 2023

Bib

@inproceedings{yadati2023heal,
  title = {HEAL: Embedding Multi-layer Hypergraphs},
  author = {Yadati, Naganand and Kumar, Tarun and Maurya, Deepak and Talukdar, Partha and Ravindran, Balaraman},
  booktitle = {Learning on Graphs Conference (LoG)},
  year = {2023},
}

PLOS Comp. Bio.

MultiCens: Multilayer Network Centrality Measures to Uncover Molecular Mediators of Tissue-Tissue Communication

Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, and 2 more authors

PLOS Computational Biology, 2023

Bib

@article{kumar2023multicens,
  title = {MultiCens: Multilayer Network Centrality Measures to Uncover Molecular Mediators of Tissue-Tissue Communication},
  author = {Kumar, Tarun and Sethuraman, Ramanathan and Mitra, Sanga and Ravindran, Balaraman and Narayanan, Manikandan},
  journal = {PLOS Computational Biology},
  volume = {19},
  number = {4},
  pages = {e1011022},
  year = {2023},
  publisher = {Public Library of Science},
}

2022

Bioinformatics

Predicting Cross-tissue Hormone-Gene Relations using Balanced Word Embeddings

Aditya Jadhav, Tarun Kumar, Mohit Raghavendra, and 2 more authors

Bioinformatics, 2022

Bib

@article{jadhav2022hormone,
  title = {Predicting Cross-tissue Hormone-Gene Relations using Balanced Word Embeddings},
  author = {Jadhav, Aditya and Kumar, Tarun and Raghavendra, Mohit and L., Tamizhini and Narayanan, Manikandan},
  journal = {Bioinformatics},
  year = {2022},
  publisher = {Oxford University Press},
}

AAAI-W

HEAL: Embedding Multi-layer Hypergraphs

Naganand Yadati, Tarun Kumar, Deepak Maurya, and 2 more authors

In Deep Learning on Graphs Workshop (DLG-AAAI’22) at AAAI, 2022

Bib

@inproceedings{yadati2022heal,
  title = {HEAL: Embedding Multi-layer Hypergraphs},
  author = {Yadati, Naganand and Kumar, Tarun and Maurya, Deepak and Talukdar, Partha and Ravindran, Balaraman},
  booktitle = {Deep Learning on Graphs Workshop (DLG-AAAI'22) at AAAI},
  year = {2022},
}

2020

WebSci

HPRA: Hyperedge Prediction using Resource Allocation

Tarun Kumar, K Darwin, Srinivasan Parthasarathy, and 1 more author

In 12th ACM Conference on Web Science (WebSci), 2020

Bib

@inproceedings{kumar2020hpra,
  title = {HPRA: Hyperedge Prediction using Resource Allocation},
  author = {Kumar, Tarun and Darwin, K and Parthasarathy, Srinivasan and Ravindran, Balaraman},
  booktitle = {12th ACM Conference on Web Science (WebSci)},
  pages = {135--143},
  year = {2020},
  publisher = {Association for Computing Machinery},
}

Appl. Net. Sci.

Hypergraph Clustering by Iteratively Reweighted Modularity Maximization

Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, and 2 more authors

Applied Network Science, 2020

Bib

@article{kumar2020hypergraph,
  title = {Hypergraph Clustering by Iteratively Reweighted Modularity Maximization},
  author = {Kumar, Tarun and Vaidyanathan, Sankaran and Ananthapadmanabhan, Harini and Parthasarathy, Srinivasan and Ravindran, Balaraman},
  journal = {Applied Network Science},
  volume = {5},
  number = {1},
  pages = {1--22},
  year = {2020},
  publisher = {Springer},
}

2019

J. Indian Inst. Sci.

Effect of Inter-layer Coupling on Multilayer Network Centrality Measures

Tarun Kumar, Manikandan Narayanan, and Balaraman Ravindran

Journal of the Indian Institute of Science, 2019

Bib

@article{kumar2019interlayer,
  title = {Effect of Inter-layer Coupling on Multilayer Network Centrality Measures},
  author = {Kumar, Tarun and Narayanan, Manikandan and Ravindran, Balaraman},
  journal = {Journal of the Indian Institute of Science},
  volume = {99},
  pages = {237--246},
  year = {2019},
  publisher = {Springer},
}

Complex Networks

A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering

Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, and 2 more authors

In International Conference on Complex Networks and Their Applications, 2019

Bib

@inproceedings{kumar2019modularity,
  title = {A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering},
  author = {Kumar, Tarun and Vaidyanathan, Sankaran and Ananthapadmanabhan, Harini and Parthasarathy, Srinivasan and Ravindran, Balaraman},
  booktitle = {International Conference on Complex Networks and Their Applications},
  pages = {286--297},
  year = {2019},
  publisher = {Springer},
}