Nobin Sarwar

I am a second-year Ph.D. student in the Language Understanding Lab at the University of Maryland, Baltimore County, advised by Prof. Francis Ferraro.

My research lies in scientific reasoning and trustworthy machine learning. For scientific reasoning, I develop methods that evaluate scientific claims using large language models by coupling targeted retrieval with structured inference, ensuring that conclusions rest on explicit evidence. A second thrust of my work develops privacy-aware and robust learning for distributed settings, focusing on federated language models and differential privacy for sensitive data.

Previously, I earned my MS in Computer Science from the University of Texas Rio Grande Valley, where I worked on privacy-preserving federated learning for biometrics and differential privacy, contributing to projects that received NSF funding.

Actively exploring Summer Internship in NLP, CV and/or ML. Please contact me if you have relevant opportunities.

Research News

Sep 27, 2025	🎉 Our paper FedMentor is accepted for presentation at the GenAI4Health Workshop, NeurIPS 2025 — The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance! 🧠✨
Sep 02, 2025	🎉 Selected for the ICCV 2025 Broadening Participation program. Excited to engage with the CV community! ✨
Aug 16, 2025	🎉 Our paper FilterRAG has been accepted at T2FM Workshop, ICCV 2025! 🔍✨

Publications Spotlight

Full publication list on Google Scholar →

NeurIPS ’25

FedMentor: Domain-Aware Differential Privacy for Heterogeneous Federated LLMs in Mental Health

Nobin Sarwar and Shubhashis Roy Dipta

In GenAI4Health Workshop, NeurIPS, 2025

arXiv Bib PDF

@inproceedings{sarwar2025fedmentor,
  title = {FedMentor: Domain-Aware Differential Privacy for Heterogeneous Federated LLMs in Mental Health},
  author = {Sarwar, Nobin and {Roy Dipta}, Shubhashis},
  booktitle = {GenAI4Health Workshop, NeurIPS},
  year = {2025},
  url = {https://genai4health.github.io/},
  dimensions = {true}
}

ICCV ’25

FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA

Nobin Sarwar

In T2FM Workshop, ICCV, 2025

arXiv Bib PDF Poster Slides

@inproceedings{sarwar2025filterrag,
  title = {FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA},
  author = {Sarwar, Nobin},
  booktitle = {T2FM Workshop, ICCV},
  year = {2025},
  url = {https://t2fm-ws.github.io/T2FM-ICCV25/},
  dimensions = {true}
}