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Artem Vazhentsev
Artem Vazhentsev
PhD student at Skoltech, Researcher at AIRI
Подтвержден адрес электронной почты в домене airi.net
Название
Процитировано
Процитировано
Год
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
462022
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
362023
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
262022
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
202023
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
122023
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
82022
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
42023
Benchmarking uncertainty quantification methods for large language models with lm-polygraph
R Vashurin, E Fadeeva, A Vazhentsev, L Rvanova, A Tsvigun, D Vasilev, ...
arXiv preprint arXiv:2406.15627, 2024
32024
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models
A Vazhentsev, E Fadeeva, R Xing, A Panchenko, P Nakov, T Baldwin, ...
arXiv preprint arXiv:2408.10692, 2024
12024
Industry vs Academia: Running a Course on Transformers in Two Setups
I Nikishina, M Tikhonova, V Chekalina, A Zaytsev, A Vazhentsev, ...
Proceedings of the Sixth Workshop on Teaching NLP, 7-22, 2024
2024
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