Nachiket Kotalwar

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

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

My research focuses on aligning AI systems to work better for and with humans. I study methods that help models learn from feedback, adapt to changing user and task contexts, and coordinate effectively in interactive settings. My work spans AI for code, STEM education, human-AI collaboration, and AI-assisted scientific research.

Previously, I was a pre-doctoral researcher at the Max Planck Institute for Software Systems (MPI-SWS), advised by Prof. Adish Singla, where I worked on human-feedback-driven alignment of language models for personalization and programming feedback.

Nachiket Kotalwar
Selected Publications
Hybrid-Gym: Training Coding Agents to Generalize Across Tasks
Y Xie, E Liu, G Zhang, N Kotalwar, S Gandhi, S Acharya, X Wang, C Rosé, G Neubig, D Fried
International Conference on Machine Learning (ICML), 2026
Searching for Synergy in Shared Workspace Human-AI Collaboration
N Kotalwar, R Das, C Rosé
ICML Workshop on Human-AI Co-Creativity, 2026
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
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