Cristina Gârbacea
I am a Postdoctoral Scholar at the University of Chicago, Data Science Institute, working with Prof. Chenhao Tan and the Chicago Human+AI (CHAI) research group. I have also collaborated with Prof. Victor Veitch. My research focuses on the alignment, evaluation and control of large language models (LLMs).
I earned my PhD in Computer Science and Engineering from the University of Michigan, advised by Prof. Qiaozhu Mei. My academic background also includes an MSc in Artificial Intelligence (“cum laude”) from the University of Amsterdam and a double BSc in Computer Science and Electrical Engineering from Transilvania University of Brasov.
Complementing my academic work, I have completed several Research Scientist internships at Google DeepMind (London) and Microsoft Research (Redmond, Montreal, Cambridge) during my graduate studies.
I welcome collaborations on LLM-related topics. If you would like to chat about a research idea, feel free to reach out at garbacea@uchicago.edu or garbacea@umich.edu.
news
| May 08, 2026 | Personalized Benchmarking: Evaluating LLMs by Individual Preferences is accepted to ACL Findings 2026 |
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| May 19, 2025 | New paper HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation |
| May 15, 2025 | New paper Evaluating the Goal-Directedness of Large Language Models |
| May 01, 2025 | RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals accepted to ICML 2025 |
| Jan 20, 2025 | Why is constrained neural language generation particularly challenging? accepted to TMLR 2025 |
| Sep 25, 2024 | BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling is accepted to NeurIPS 2024 |