I’m an assistant professor in the Kahlert School of Computing at the University of Utah. My research interests broadly fall into NLP, human-centered AI, and intrepretability. The problems I’m currently most excited about are:
- Empowering individuals and groups by improving AI-assisted decision making, communication, and creativity.
- Radically changing evaluation protocols for studying human behavior under AI assistance.
- Creating new high-quality training and evaluation data and understanding the role of professional dataset creators, domain experts, and annotators in this process in the era of generative AI.
- Connecting explanations generated in plain language with internal computations.
Previously, I was a Young Investigator at the Allen Institute for AI (2019–2022), working with Noah A. Smith and Yejin Choi, and held a courtesy appointment in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I earned my PhD from the Heidelberg University NLP Group, where I was advised by Anette Frank. Prior to receiving my PhD in 2019, I completed B.Sc. (2013) and M.Sc. (2015) in Mathematics at the University of Zagreb.
I grew up in Omiš, Croatia. One would think I was always appreciative of mountains living in a place like that, but it took moving to Seattle to realize that free time is best spent outdoors.
News
| Jun 2024 | Our work on measuring chain-of-thought faithfulness is accepted to TMLR. |
| Jun 2024 | I prepared a session on data influence for NAACL Tutorial: Explanations in the Era of Large Language Models. |
| Apr 2024 | I'm leading a session on trust and explainability at Bellairs Invitational Workshop on Contemporary, Foreseeable and Catastrophic Risks of Large Language Models 🌴 |
| Mar 2024 | Our paper where we reflect on the longstanding robustness issues in NLP is accepted to NAACL! |
| Feb 2024 | I am senior area chairing again for ACL'24. |