Rohit K. Vartak
Duke University | Not a slightest clue in life
I am a second-year M.S. in Computer Science student at Duke University.
My research interests lie in robustness and reasoning in LLMs. I am particularly interested in understanding how models reason, improving that reasoning process, and ensuring that these models remain efficient and scalable in real-world settings.
I am currently advised by Prof. Bhuwan Dhingra at Duke, where I am exploring the mathematical reasoning capabilities of multimodal LLMs.
Previously, I interned at CERT Labs, working under Prof. Praneeth Vepakomma at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), where my focus was on improving the efficiency and scalability of large language models.
Additionally, I was advised by Prof. Monica Agrawal at Duke University, where I worked on studying and improving medical chatbots to enhance their accuracy and real-world usability.
Feel free to explore my work and reach out! 🚀
news
| Jun 26, 2025 | Excited to share our latest work, ““What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets”! Now available on arXiv🚀 |
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| May 21, 2025 | 🚀 Just dropped: “ABBA: Highly Expressive Hadamard Product Adaptation for LLMs” is now on arXiv 📌 TLDR here |
| Mar 13, 2025 | Excited to share our latest work, “Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning”! Now available on arXiv🚀 |
| May 15, 2024 | Accepted for MS in Computer Science program at Duke University |
| Jul 26, 2022 | Selected for IDDDP from Electrical Engineering to C-MInDS (AI/ML) at IIT Bombay |