Ivan Lazichny

According to our database, Ivan Lazichny authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models.

Mikhail Salnikov, Dmitrii Korzh, Ivan Lazichny, Elvir Karimov, Artyom Iudin, Ivan V. Oseledets, Oleg Y. Rogov, Natalia V. Loukachevitch, Alexander Panchenko, Elena Tutubalina

CoRR, June, 2025

Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs.

Artem Vazhentsev, Lyudmila Rvanova, Gleb Kuzmin, Ekaterina Fadeeva, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Mrinmaya Sachan, Preslav Nakov, Artem Shelmanov

CoRR, May, 2025

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models.

Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2022

ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts.

Akim Tsvigun, Leonid Sanochkin, Daniil Larionov, Gleb Kuzmin, Artem Vazhentsev, Ivan Lazichny, Nikita Khromov, Danil Kireev, Aleksandr Rubashevskii, Olga Shahmatova

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Active Learning for Abstractive Text Summarization.

Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022