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Artem Vazhentsev
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2020 – today
- 2024
- [i3]Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, Akim Tsvigun, Daniil Vasilev, Rui Xing, Abdelrahman Boda Sadallah, Lyudmila Rvanova, Sergey Petrakov, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov, Artem Shelmanov:
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. CoRR abs/2406.15627 (2024) - [i2]Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov:
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models. CoRR abs/2408.10692 (2024) - 2023
- [c7]Artem Vazhentsev, Akim Tsvigun, Roman Vashurin, Sergey Petrakov, Daniil Vasilev, Maxim Panov, Alexander Panchenko, Artem Shelmanov:
Efficient Out-of-Domain Detection for Sequence to Sequence Models. ACL (Findings) 2023: 1430-1454 - [c6]Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov:
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. ACL (1) 2023: 11659-11681 - [c5]Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov:
LM-Polygraph: Uncertainty Estimation for Language Models. EMNLP (Demos) 2023: 446-461 - [c4]Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin:
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? IJCNLP (1) 2023: 744-770 - [i1]Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov:
LM-Polygraph: Uncertainty Estimation for Language Models. CoRR abs/2311.07383 (2023) - 2022
- [c3]Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov:
Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) 2022: 8237-8252 - [c2]Akim Tsvigun, Leonid Sanochkin, Daniil Larionov, Gleb Kuzmin, Artem Vazhentsev, Ivan Lazichny, Nikita Khromov, Danil Kireev, Aleksandr Rubashevskii, Olga Shahmatova:
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts. EMNLP (Demos) 2022: 406-434 - [c1]Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov:
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS 2022
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