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Akim Tsvigun
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2020 – today
- 2024
- [c10]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. ACL (1) 2024: 3964-3992 - [c9]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. EACL (1) 2024: 1369-1407 - [c8]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. SemEval@NAACL 2024: 2057-2079 - [d1]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection. Zenodo, 2024 - [i8]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohanned Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. CoRR abs/2402.11175 (2024) - [i7]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. CoRR abs/2404.14183 (2024) - [i6]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) - [i5]Mervat Abassy, Kareem Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, Osama Mohammed Afzal, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji, Artem Shelmanov, Nizar Habash, Iryna Gurevych, Preslav Nakov:
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. CoRR abs/2408.04284 (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 - [i4]Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov:
Active Learning for Abstractive Text Summarization. CoRR abs/2301.03252 (2023) - [i3]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Alham Fikri Aji, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. CoRR abs/2305.14902 (2023) - [i2]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
- [c4]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 - [c3]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 - [c2]Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov:
Active Learning for Abstractive Text Summarization. EMNLP (Findings) 2022: 5128-5152 - [c1]Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov:
Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) 2022: 1198-1218 - [i1]Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov:
Towards Computationally Feasible Deep Active Learning. CoRR abs/2205.03598 (2022)
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last updated on 2024-09-26 00:55 CEST by the dblp team
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