Nachiket Kotalwar

nachiketdk [at] cmu [dot] edu
nachiketkotalwar [at] outlook [dot] com

Hello! I am a first-year PhD student at the Language Technologies Institute at Carnegie Mellon University, advised by Prof. Carolyn Rose.

My work centers on personalized alignment and human–AI collaboration. I develop methods that adapt AI to user-specific preferences, and evaluate these methods in real interactive systems, including coding assistants and educational tools.

Previously, I worked as a research fellow at the Max Planck Institute for Software Systems (MPI-SWS), advised by Prof. Adish Singla, where I focused on improving how language models generate feedback for code.

Nachiket Kotalwar
Selected Publications
Inference-Time Personalized Alignment with a Few User Preference Queries
VA Pădurean, P Kamalaruban, N Kotalwar, A Gotovos, A Singla
Neural Information Processing Systems (NeurIPS), 2025 (To Appear)
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
VA Pădurean, T Phung, N Kotalwar, M Liut, J Leinonen, P Denny, A Singla
Educational Data Mining (EDM), 2025
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
N Kotalwar, A Gotovos, A Singla
Neural Information Processing Systems (NeurIPS) Datasets & Benchmarks Track, 2024