Artem Shelmanov

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 48

Top Topics

Active Learning

Sense Disambiguation

Top Venues

Publications

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 (2024)
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 (2024)
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)
Aleksandr Nikolich, Konstantin Korolev, Artem Shelmanov
Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian. CoRR (2024)
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 (2024)
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)
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)
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) (2024)
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 (2024)
Gleb Kuzmin, Nemeesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov
Inference-Time Selective Debiasing. CoRR (2024)
Saba Anwar, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann
Text augmentation for semantic frame induction and parsing. Lang. Resour. Evaluation 58 (2) (2024)
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)
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)
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)
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 (2023)
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 (2023)
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)
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 (2023)
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) (2022)
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)
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
Towards Computationally Feasible Deep Active Learning. CoRR (2022)
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)
Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
Medical Image Captioning via Generative Pretrained Transformers. CoRR (2022)
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)
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)
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 (2022)
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)
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)
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)
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)
Nikolay Arefyev, Dmitry Kharchev, Artem Shelmanov
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis. EMNLP (1) (2021)
Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov
How Certain is Your Transformer? EACL (2021)
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 (2021)
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)
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)
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 (2020)
Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann
Neural Entity Linking: A Survey of Models based on Deep Learning. CoRR (2020)
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)
Daniil Larionov, Artem Shelmanov, Elena Chistova, Ivan V. Smirnov
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. RANLP (2019)
Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova
Noun Compositionality Detection Using Distributional Semantics for the Russian Language. AIST (2019)
Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. BIBM (2019)
Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova
A Dataset for Noun Compositionality Detection for a Slavic Language. BSNLP@ACL (2019)
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)
Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov
Discovering Novel Emergency Events in Text Streams. DAMDID/RCDL (2018)
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)
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)
Dmitriy Deviatkin, Artem Shelmanov
Towards Text Processing System for Emergency Event Detection in the Arctic Zone. DAMDID/RCDL (2016)
Dmitry Devyatkin, Artem Shelmanov
Text Processing Framework for Emergency Event Detection in the Arctic Zone. DAMDID/RCDL (Selected Papers) (2016)