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Artem Shelmanov
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2020 – today
- 2024
- [j3]Saba Anwar
, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann:
Text augmentation for semantic frame induction and parsing. Lang. Resour. Evaluation 58(2): 363-408 (2024) - [j2]Natalia V. Loukachevitch
, Ekaterina Artemova, Tatiana Batura
, Pavel Braslavski, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Igor Rozhkov, Artem Shelmanov, Elena Tutubalina
, Alexey Yandutov:
NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links. Lang. Resour. Evaluation 58(2): 547-583 (2024) - [c31]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 - [c30]Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) 2024: 9367-9385 - [c29]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 - [c28]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 - [i19]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) - [i18]Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR abs/2403.04696 (2024) - [i17]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) - [i16]Aleksandr Nikolich, Konstantin Korolev, Artem Shelmanov:
Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian. CoRR abs/2405.13929 (2024) - [i15]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) - [i14]Gleb Kuzmin, Nemeesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov:
Inference-Time Selective Debiasing. CoRR abs/2407.19345 (2024) - [i13]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) - [i12]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) - [i11]Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Artem Shelmanov, Ivan V. Smirnov:
Mental Disorders Detection in the Era of Large Language Models. CoRR abs/2410.07129 (2024) - [i10]Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Tatsuki Kuribayashi, Cong Zeng, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin:
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. CoRR abs/2412.18551 (2024) - 2023
- [c27]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 - [c26]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 - [c25]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 - [c24]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 - [i9]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) - [i8]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) - [i7]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
- [j1]Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural entity linking: A survey of models based on deep learning. Semantic Web 13(3): 527-570 (2022) - [c23]Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko:
RuCCoN: Clinical Concept Normalization in Russian. ACL (Findings) 2022: 239-245 - [c22]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 - [c21]Aleksandr Nesterov
, Bulat Ibragimov
, Dmitriy Umerenkov
, Artem Shelmanov
, Galina Zubkova
, Vladimir Kokh
:
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. AIME 2022: 76-87 - [c20]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 - [c19]Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko:
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. LREC 2022: 4212-4220 - [c18]Natalia V. Loukachevitch, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Suresh Manandhar, Artem Shelmanov, Elena Tutubalina:
Entity Linking over Nested Named Entities for Russian. LREC 2022: 4458-4466 - [c17]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 - [c16]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 - [i6]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) - [i5]Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh:
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. CoRR abs/2206.00906 (2022) - [i4]Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov:
Medical Image Captioning via Generative Pretrained Transformers. CoRR abs/2209.13983 (2022) - 2021
- [c15]Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko:
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. EACL 2021: 1698-1712 - [c14]Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov:
How Certain is Your Transformer? EACL 2021: 1833-1840 - [c13]Nikolay Arefyev, Dmitry Kharchev, Artem Shelmanov:
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis. EMNLP (1) 2021: 9114-9124 - [i3]Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko:
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. CoRR abs/2101.08133 (2021) - 2020
- [c12]Elena Chistova
, Artem Shelmanov, Dina Pisarevskaya, Maria Kobozeva
, Vadim Isakov, Alexander Panchenko, Svetlana Toldova, Ivan V. Smirnov
:
RST Discourse Parser for Russian: An Experimental Study of Deep Learning Models. AIST 2020: 105-119 - [c11]Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko:
Word Sense Disambiguation for 158 Languages using Word Embeddings Only. LREC 2020: 5943-5952 - [i2]Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko:
Word Sense Disambiguation for 158 Languages using Word Embeddings Only. CoRR abs/2003.06651 (2020) - [i1]Özge Sevgili, Artem Shelmanov
, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural Entity Linking: A Survey of Models based on Deep Learning. CoRR abs/2006.00575 (2020)
2010 – 2019
- 2019
- [c10]Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova:
A Dataset for Noun Compositionality Detection for a Slavic Language. BSNLP@ACL 2019: 56-62 - [c9]Dmitry Puzyrev, Artem Shelmanov
, Alexander Panchenko
, Ekaterina Artemova:
Noun Compositionality Detection Using Distributional Semantics for the Russian Language. AIST 2019: 218-229 - [c8]Artem Shelmanov
, Vadim Liventsev
, Danil Kireev
, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov
:
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. BIBM 2019: 482-489 - [c7]Ivan Rodin, Irina Fedulova, Artem Shelmanov
, Dmitry V. Dylov
:
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. BIBM 2019: 1601-1604 - [c6]Daniil Larionov, Artem Shelmanov
, Elena Chistova
, Ivan V. Smirnov
:
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. RANLP 2019: 619-628 - 2018
- [c5]Dmitriy Deviatkin, Artem Shelmanov
, Daniil Larionov:
Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams. DAMDID/RCDL (Selected Papers) 2018: 180-196 - [c4]Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov:
Discovering Novel Emergency Events in Text Streams. DAMDID/RCDL 2018: 208-215 - 2016
- [c3]Ilya Sochenkov
, Denis Zubarev, Ilya Tikhomirov
, Ivan V. Smirnov
, Artem Shelmanov
, Roman Suvorov, Gennady S. Osipov
:
Exactus Like: Plagiarism Detection in Scientific Texts. ECIR 2016: 837-840 - [c2]Dmitry Devyatkin
, Artem Shelmanov
:
Text Processing Framework for Emergency Event Detection in the Arctic Zone. DAMDID/RCDL (Selected Papers) 2016: 74-88 - [c1]Dmitriy Deviatkin, Artem Shelmanov:
Towards Text Processing System for Emergency Event Detection in the Arctic Zone. DAMDID/RCDL 2016: 148-154 - 2014
- [p1]Gennady S. Osipov, Ivan V. Smirnov, Ilya Tikhomirov, Ilya Sochenkov
, Artem Shelmanov
, Alexander V. Shvets:
Information Retrieval for R&D support. Professional Search in the Modern World 2014: 45-69
Coauthor Index

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