| Uncertainty estimation of transformer predictions for misclassification detection A Vazhentsev, G Kuzmin, A Shelmanov, A Tsvigun, E Tsymbalov, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 30 | 2022 |
| Nonparametric uncertainty quantification for single deterministic neural network N Kotelevskii, A Artemenkov, K Fedyanin, F Noskov, A Fishkov, ... Advances in Neural Information Processing Systems 35, 36308-36323, 2022 | 15 | 2022 |
| LM-polygraph: Uncertainty estimation for language models E Fadeeva, R Vashurin, A Tsvigun, A Vazhentsev, S Petrakov, K Fedyanin, ... arXiv preprint arXiv:2311.07383, 2023 | 11 | 2023 |
| Hybrid uncertainty quantification for selective text classification in ambiguous tasks A Vazhentsev, G Kuzmin, A Tsvigun, A Panchenko, M Panov, M Burtsev, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 10 | 2023 |
| Efficient out-of-domain detection for sequence to sequence models A Vazhentsev, A Tsvigun, R Vashurin, S Petrakov, D Vasilev, M Panov, ... Findings of the Association for Computational Linguistics: ACL 2023, 1430-1454, 2023 | 7 | 2023 |
| ALToolbox: a set of tools for active learning annotation of natural language texts A Tsvigun, L Sanochkin, D Larionov, G Kuzmin, A Vazhentsev, I Lazichny, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 4 | 2022 |
| Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? G Kuzmin, A Vazhentsev, A Shelmanov, X Han, S Suster, M Panov, ... Proceedings of the 13th International Joint Conference on Natural Language …, 2023 | 1 | 2023 |
| Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph R Vashurin, E Fadeeva, A Vazhentsev, A Tsvigun, D Vasilev, R Xing, ... arXiv preprint arXiv:2406.15627, 2024 | | 2024 |
Artem ShelmanovMBZUAIПодтвержден адрес электронной почты в домене mbzuai.ac.ae
