Kartik Sharma
seeking industry positions...

🦺 🤖 🎛️
I am a final-year Ph.D. candidate at Georgia Institute of Technology, being advised by Prof. Srijan Kumar and mentored by Dr. Rakshit Trivedi. Through my research, my goal is to study and build machine learning (🤖) models, which are robust to perturbations (🦺) and can be easily controlled (🎛️) by the users, specifically, in relational (eg., graph), ordered (eg., language, decision process), and dynamic (eg., dynamic graph, multi-agent) environments. These environments are unique in how they can model numerous real-world applications while providing a mathematical formalism. My motivation arises from the fact that these models are inherently probabilistic and non-deterministic by nature and may behave differently from the users’ expectations, hindering their widespread adoption. Thus, it is important that we ensure that the model’s behavior remains stable under reasonable perturbations, but changes precisely as or when directed through explicit controls.
I have had the pleasure of getting valuable industrial experience throughout my Ph.D.: working with Amazon RISC (Regulatory Intelligence, Safety and Compliance) Science team in 2025, Microsoft Research for industry group in 2024, and Visa Research in 2024. Before this, I graduated from IIT Delhi in 2021, where I was fortunate to be advised by Prof. Sayan Ranu and mentored by Prof. Sourav Medya.
news
Sep 19, 2025 | Paper accepted at NeurIPS 2025 (spotlight)! Paper and code coming soon! |
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Sep 19, 2025 | Two papers accepted at EMNLP 2025 (main and findings)! |
Aug 16, 2025 | Finished my internship with the Regulatory Compliance Science team at Amazon. |
May 14, 2025 | Successfully proposed my thesis and now officially a PhD candidate! |
May 14, 2024 | Spending my summer at MSR, Redmond in the Research for Industry Lab. |
selected publications
Enabling user-controllable generation.
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- Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordinationIn The Thirty-ninth Annual Conference on Neural Information Processing Systems , 2025