Kartik Sharma
Scholar

Kartik Sharma

Google Scholar ID: XL3fNAoAAAAJ
Ph.D. student, Georgia Institute of Technology
Controllable GenerationAdversarial RobustnessStructural Alignment
Citations & Impact
All-time
Citations
414
 
H-index
9
 
i10-index
8
 
Publications
19
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Papers accepted at NeurIPS 2025 (spotlight) and EMNLP 2025 (main and findings); published multiple papers on topics such as controllable graph generation, ontology-grounded retrieval-augmented generation, etc.
Research Experience
  • Worked with Amazon RISC Science team in 2025; worked with Microsoft Research for Industry group and Visa Research in 2024.
Education
  • Graduated from IIT Delhi in 2021, advised by Prof. Sayan Ranu and mentored by Prof. Sourav Medya; currently a Ph.D. candidate at Georgia Institute of Technology, advised by Prof. Srijan Kumar and mentored by Dr. Rakshit Trivedi.
Background
  • Research interests include building machine learning models in relational, ordered, and dynamic environments that are robust to perturbations and can be easily controlled by users. His motivation is to ensure the model's behavior remains stable under reasonable perturbations but changes precisely as or when directed through explicit controls.
Miscellany
  • Personal interests not mentioned