Gleb Kuzmin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
4
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Exploring Large Language Models for Detecting Mental Disorders. | Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Natalya V. Chudova, Artem Shelmanov, Ivan V. Smirnov |
| 2025 | EMNLP | Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models. | Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov |
| 2025 | NAACL | Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models. | Gleb Kuzmin, Neemesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov |
| 2024 | ACL | Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. | Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov |
| 2023 | ACL | Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. | Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov |
| 2023 | IJCNLP | Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? | Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin |
| 2022 | ACL | Uncertainty Estimation of Transformer Predictions for Misclassification Detection. | Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov |
| 2022 | EMNLP | 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 |
| 2022 | NAACL | Towards Computationally Feasible Deep Active Learning. | Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov |