Mikhail Florinsky
- Doctoral Student:Faculty of Computer Science / Big Data and Information Retrieval School
Postgraduate Studies
3rd year of study
Approved topic of thesis: Machine learning methods for language models evaluation and interpretation
Academic Supervisor: Artemova, Ekaterina
Publications1
Chapter Rofin M., Mikhailov V., Florinsky M., Kravchenko A., Tutubalina E., Shavrina T., Karabekyan D., Artemova E. Vote’n’Rank: Revision of Benchmarking with Social Choice Theory, in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Dubrovnik : Association for Computational Linguistics, 2023. P. 670-686.