Preetam Dammu

Hello! I’m a PhD Candidate at the University of Washington, Seattle, advised by Prof. Chirag Shah.

My research focuses on generative models for multimodal information access, spanning IR, NLP, and CV. I study how modern AI systems retrieve, reason over, and generate content, and how these capabilities can be evaluated and deployed reliably in real-world settings.

More broadly, I am interested in building robust AI systems, with an emphasis on evaluation, explainability, and scalability across applications.

News

Mar 5, 2026	New paper iAgentBench on sensemaking for information-seeking agents is now on arXiv — project page at iAgentBench.
Jan 30, 2026	New paper on ClaimDB — a fact verification benchmark over large structured data — is now on arXiv; project page at ClaimDB.
Jan 15, 2026	New tutorial – Information Seeking in the Age of Agentic AI accepted at CHIIR 2026! Looking forward to presenting it in March 2026.
Jul 15, 2025	New paper on Dynamic-KGQA — a scalable framework for generating adaptive question answering datasets — accepted at SIGIR 2025!
Jun 1, 2025	Started internship at AWS AI as Applied Scientist II Intern, working on dynamic evaluations of agentic systems.
Mar 1, 2025	New paper on a shopping agent for addressing subjective product needs accepted at WSDM 2025!
May 8, 2024	New paper on covert harms in LLM-generated conversations accepted at EMNLP 2024!
Mar 12, 2024	New paper on ClaimVer — explainable claim-level verification and evidence attribution through knowledge graphs — accepted at EMNLP 2024!

Selected Publications

Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets

Preetam Prabhu Srikar Dammu, Himanshu Naidu, and Chirag Shah

In 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

Bib PDF

@inproceedings{dammu2025dynamickgqa,
  title = {Dynamic-{KGQA}: A Scalable Framework for Generating Adaptive Question Answering Datasets},
  author = {Dammu, Preetam Prabhu Srikar and Naidu, Himanshu and Shah, Chirag},
  booktitle = {48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)},
  year = {2025},
  url = {https://dl.acm.org/doi/abs/10.1145/3726302.3730324},
}

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs

Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, and 4 more authors

In Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Findings), 2024

Bib PDF

@inproceedings{dammu2024claimver,
  title = {ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs},
  author = {Dammu, Preetam Prabhu Srikar and Naidu, Himanshu and Dewan, Mouly and Kim, YoungMin and Roosta, Tanya and Chadha, Aman and Shah, Chirag},
  booktitle = {Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Findings)},
  year = {2024},
  url = {https://arxiv.org/abs/2403.09724},
}

iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics

Preetam Prabhu Srikar Dammu, Arnav Palkhiwala, Tanya Roosta, and 1 more author

arXiv preprint arXiv:2603.04656, 2026

Bib PDF

@article{dammu2026iagentbench,
  title = {iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics},
  author = {Dammu, Preetam Prabhu Srikar and Palkhiwala, Arnav and Roosta, Tanya and Shah, Chirag},
  journal = {arXiv preprint arXiv:2603.04656},
  year = {2026},
  url = {https://arxiv.org/abs/2603.04656},
}