Artem Shelmanov

Most-cited papers

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
Yuxia Wang, J. Mansurov, Petar Ivanov, Jinyan Su +11 more
2023Conference of the European Chapter of the Association for Computational Linguistics214 citations Open access
Semantic Scholar
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov +8 more
2024Annual Meeting of the Association for Computational Linguistics213 citations
Semantic Scholar
LM-Polygraph: Uncertainty Estimation for Language Models
Ekaterina Fadeeva, Roman Vashurin, A. Tsvigun, Artem Vazhentsev +8 more
2023Conference on Empirical Methods in Natural Language Processing180 citations
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Neural Entity Linking: A Survey of Models based on Deep Learning
Özge Sevgili, Artem Shelmanov, Mikhail Arkhipov, Alexander Panchenko +1 more
2020Semantic Web171 citations Open access
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Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, L. Rvanova +11 more
2024Transactions of the Association for Computational Linguistics142 citations Open access
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Medical image captioning via generative pretrained transformers
Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov +2 more
2022Scientific Reports109 citations Open access
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SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
Yu-Xia Wang, J. Mansurov, Petar Ivanov, Jinyan Su +11 more
2024International Workshop on Semantic Evaluation87 citations
Semantic Scholar
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
Yu-Xia Wang, J. Mansurov, Petar Ivanov, Jinyan Su +10 more
2024Annual Meeting of the Association for Computational Linguistics83 citations
Semantic Scholar
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
Artem Shelmanov, Dmitri Puzyrev, L. Kupriyanova, Denis Belyakov +6 more
2021Conference of the European Chapter of the Association for Computational Linguistics68 citations Open access
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How Certain is Your Transformer?
Artem Shelmanov, Evgenii Tsymbalov, Dmitri Puzyrev, Kirill Fedyanin +2 more
2021Conference of the European Chapter of the Association for Computational Linguistics63 citations Open access
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Uncertainty Estimation of Transformer Predictions for Misclassification Detection
Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, A. Tsvigun +8 more
2022Annual Meeting of the Association for Computational Linguistics61 citations Open access
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Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
N. Kotelevskii, A. Artemenkov, Kirill Fedyanin, Fedor Noskov +5 more
2022Neural Information Processing Systems52 citations Open access
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LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
Mervat T. Abassy, K. Elozeiri, Alexander Aziz, Minh Ngoc Ta +20 more
2024Conference on Empirical Methods in Natural Language Processing50 citations
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Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks
Artem Vazhentsev, Gleb Kuzmin, A. Tsvigun, A. Panchenko +3 more
2023Annual Meeting of the Association for Computational Linguistics47 citations Open access
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Overview of the "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2025
Janek Bevendorff, Yu-Xia Wang, Jussi Karlgren, Matti Wiegmann +20 more
2025Conference and Labs of the Evaluation Forum43 citations
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Efficient Out-of-Domain Detection for Sequence to Sequence Models
Artem Vazhentsev, A. Tsvigun, Roman Vashurin, Sergey Petrakov +4 more
2023Annual Meeting of the Association for Computational Linguistics36 citations Open access
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GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
Yu-Xia Wang, Artem Shelmanov, J. Mansurov, A. Tsvigun +22 more
2025COLING Workshops34 citations
Semantic Scholar
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, A. Ilina, Aleksandr Rubashevskii +3 more
2025Neural Information Processing Systems33 citations
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A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
Artem Shelmanov, Ekaterina Fadeeva, A. Tsvigun, Ivan Tsvigun +8 more
2025Conference on Empirical Methods in Natural Language Processing33 citations
Semantic Scholar
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts
Artem Shelmanov, V. Liventsev, Danil Kireev, N. Khromov +3 more
2019IEEE International Conference on Bioinformatics and Biomedicine30 citations
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Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates
Daniil Larionov, Artem Shelmanov, Elena Chistova, I. Smirnov
2019Recent Advances in Natural Language Processing23 citations Open access
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NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links
Natalia V. Loukachevitch, E. Artemova, Tatiana Batura, Pavel Braslavski +7 more
2023Language Resources and Evaluation18 citations
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Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads
Artem Vazhentsev, L. Rvanova, Gleb Kuzmin, Ekaterina Fadeeva +7 more
202517 citations
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Towards Computationally Feasible Deep Active Learning
A. Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin +4 more
2022NAACL-HLT17 citations Open access
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Active Learning for Abstractive Text Summarization
A. Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny +8 more
2023Conference on Empirical Methods in Natural Language Processing16 citations Open access
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NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis
N. Arefyev, Dmitrii Kharchev, Artem Shelmanov
2021Conference on Empirical Methods in Natural Language Processing16 citations Open access
Semantic Scholar
Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian
Aleksandr Nikolich, Konstantin Korolev, Sergei Bratchikov, I. Kiselev +1 more
2024arXiv.org15 citations
Semantic Scholar
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking
Anton M. Alekseev, Z. Miftahutdinov, Elena Tutubalina, Artem Shelmanov +6 more
2022International Conference on Language Resources and Evaluation15 citations Open access
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Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images
Ivan Rodin, Irina Fedulova, Artem Shelmanov, D. Dylov
2019IEEE International Conference on Bioinformatics and Biomedicine15 citations
Semantic Scholar
Uncertainty Quantification for Large Language Models
Artem Shelmanov, Maxim Panov, Roman Vashurin, Artem Vazhentsev +2 more
2025Annual Meeting of the Association for Computational Linguistics14 citations Open access
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Exactus Like: Plagiarism Detection in Scientific Texts
I. Sochenkov, D. Zubarev, I. Tikhomirov, I. Smirnov +3 more
2016European Conference on Information Retrieval14 citations
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[Technologies for Complex Intelligent Clinical Data Analysis].
A. Baranov, L. Namazova-Baranova, I. Smirnov, D. Devyatkin +4 more
2016Vestnik Rossiiskoi akademii meditsinskikh nauk13 citations Open access
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RuCCoN: Clinical Concept Normalization in Russian
Alexander Nesterov, Galina Zubkova, Z. Miftahutdinov, V. Kokh +6 more
2022Findings12 citations Open access
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Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin +6 more
2024Conference on Empirical Methods in Natural Language Processing11 citations Open access
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Word Sense Disambiguation for 158 Languages using Word Embeddings Only
V. Logacheva, D. Teslenko, Artem Shelmanov, Steffen Remus +6 more
2020International Conference on Language Resources and Evaluation11 citations
Semantic Scholar
Information Retrieval for R&D support
Gennady S. Osipov, I. Smirnov, I. Tikhomirov, I. Sochenkov +2 more
2014Professional Search in the Modern World11 citations
Semantic Scholar
RST Discourse Parser for Russian: An Experimental Study of Deep Learning Models
Elena Chistova, Artem Shelmanov, D. Pisarevskaya, M. Kobozeva +4 more
2020International Joint Conference on the Analysis of Images, Social Networks and Texts10 citations
Semantic Scholar
Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract
Janek Bevendorff, Daryna Dementieva, Maik Fröbe, B. Gipp +12 more
2025European Conference on Information Retrieval9 citations
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Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency
Roman Vashurin, Maiya Goloburda, A. Ilina, Aleksandr Rubashevskii +3 more
9 citations
Semantic Scholar
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts
A. Tsvigun, Leonid Sanochkin, Daniil Larionov, Gleb Kuzmin +9 more
2022Conference on Empirical Methods in Natural Language Processing8 citations Open access
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Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?
Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han +4 more
2023International Joint Conference on Natural Language Processing7 citations Open access
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Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
Yu-Xia Wang, Rui Xing, J. Mansurov, Giovanni Puccetti +22 more
2025Annual Meeting of the Association for Computational Linguistics6 citations
Semantic Scholar
Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)
Laura Dietz, A. Panchenko, Fragkiskos D. Malliaros, V. Logacheva +496 more
20216 citations Open access
Semantic Scholar
Towards the Data-driven System for Rhetorical Parsing of Russian Texts
Artem Shelmanov, D. Pisarevskaya, Elena Chistova, S. Toldova +2 more
2019Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 20196 citations Open access
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Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models
Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Alexander Panchenko +4 more
2024arXiv.org5 citations
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Active Learning with Adaptive Density Weighted Sampling for Information Extraction from Scientific Papers
R. Suvorov, Artem Shelmanov, I. Smirnov
20175 citations
Semantic Scholar
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization
A. Nesterov, B. Ibragimov, Dmitriy Umerenkov, Artem Shelmanov +2 more
2022Conference on Artificial Intelligence in Medicine in Europe4 citations Open access
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Open Information Extraction from Texts: Part II. Extraction of Semantic Relationships Using Unsupervised Machine Learning
Artem Shelmanov, D. Devyatkin, V. Isakov, I. Smirnov
2020Scientific and Technical Information Processing4 citations
Semantic Scholar
Text Processing Framework for Emergency Event Detection in the Arctic Zone
D. Devyatkin, Artem Shelmanov
2016International Conference on Data Analytics and Management in Data Intensive Domains4 citations
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Text augmentation for semantic frame induction and parsing
Saba Anwar, Artem Shelmanov, N. Arefyev, Alexander Panchenko +1 more
2023Language Resources and Evaluation3 citations Open access
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