Artem Shelmanov

84 papers A* 4A 3B 4Misc 3Journal 36Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Uncertainty Quantification for Large Language Models. ECIR (4) Maxim Panov, Artem Shelmanov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Lyudmila Rvanova, Timothy Baldwin
2025	A*	`conf`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. EMNLP Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. CoRR Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	—	`conf`	ATGen: A Framework for Active Text Generation. ACL (3) Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun, Ivan Lysenko, Talgat Bektleuov, Aleksandr Medvedev, Uliana Vinogradova, Nikita Severin, Mikhail Mozikov, Andrey V. Savchenko, Ilya Makarov, Rostislav Grigorev, Ramil Kuleev, Fedor Zhdanov, Artem Shelmanov
2025	J	`jnl`	ATGen: A Framework for Active Text Generation. CoRR Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun, Ivan Lysenko, Talgat Bektleuov, Aleksandr Medvedev, Uliana Vinogradova, Nikita Severin, Mikhail Mozikov, Andrey V. Savchenko, Rostislav Grigorev, Ramil Kuleev, Fedor Zhdanov, Artem Shelmanov, Ilya Makarov
2025	J	`jnl`	Argument-Based Comparative Question Answering Evaluation Benchmark. CoRR Irina Nikishina, Saba Anwar, Nikolay Dolgov, Maria Manina, Daria Ignatenko, Viktor Moskvoretskii, Artem Shelmanov, Tim Baldwin, Chris Biemann
2025	J	`jnl`	Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. Trans. Assoc. Comput. Linguistics Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, Lyudmila Rvanova, Daniil Vasilev, Akim Tsvigun, Sergey Petrakov, Rui Xing, Abdelrahman Boda Sadallah, Kirill Grishchenkov, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov, Artem Shelmanov
2025	J	`jnl`	Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling. CoRR Ivan Rodkin, Daniil Orel, Konstantin Smirnov, Arman Bolatov, Bilal Elbouardi, Besher Hassan, Yuri Kuratov, Aydar Bulatov, Preslav Nakov, Timothy Baldwin, Artem Shelmanov, Mikhail Burtsev
2025	J	`jnl`	CoCoA: A Generalized Approach to Uncertainty Quantification by Integrating Confidence and Consistency of LLM Outputs. CoRR Roman Vashurin, Maiya Goloburda, Preslav Nakov, Artem Shelmanov, Maxim Panov
2025	J	`jnl`	Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search. CoRR Ekaterina Fadeeva, Maiya Goloburda, Aleksandr Rubashevskii, Roman Vashurin, Artem Shelmanov, Preslav Nakov, Mrinmaya Sachan, Maxim Panov
2025	A*	`conf`	Exploring Large Language Models for Detecting Mental Disorders. EMNLP Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Natalya V. Chudova, Artem Shelmanov, Ivan V. Smirnov
2025	J	`jnl`	Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation. CoRR Ekaterina Fadeeva, Aleksandr Rubashevskii, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan, Maxim Panov
2025	—	`conf`	GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human. COLING Workshops Yuxia Wang, Artem Shelmanov, Jonibek Mansurov, Akim Tsvigun, Vladislav Mikhailov, Rui Xing, Zhuohan Xie, Jiahui Geng, Giovanni Puccetti, Ekaterina Artemova, Jinyan Su, Minh Ngoc Ta, Mervat Abassy, Kareem Ashraf Elozeiri, Saad El Dine Ahmed El Etter, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Nurkhan Laiyk, Osama Mohammed Afzal, Ryuto Koike, Masahiro Kaneko, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
2025	J	`jnl`	GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human. CoRR Yuxia Wang, Artem Shelmanov, Jonibek Mansurov, Akim Tsvigun, Vladislav Mikhailov, Rui Xing, Zhuohan Xie, Jiahui Geng, Giovanni Puccetti, Ekaterina Artemova, Jinyan Su, Minh Ngoc Ta, Mervat Abassy, Kareem Ashraf Elozeiri, Saad El Dine Ahmed El Etter, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Nurkhan Laiyk, Osama Mohammed Afzal, Ryuto Koike, Masahiro Kaneko, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
2025	—	`conf`	How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering. ACL (1) Irina Nikishina, Saba Anwar, Nikolay Dolgov, Maria Manina, Daria Ignatenko, Artem Shelmanov, Chris Biemann
2025	—	`conf`	Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models. NAACL (Short Papers) Gleb Kuzmin, Neemesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov
2025	J	`jnl`	Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI. CoRR Yuxia Wang, Rui Xing, Jonibek Mansurov, Giovanni Puccetti, Zhuohan Xie, Minh Ngoc Ta, Jiahui Geng, Jinyan Su, Mervat Abassy, Saad El Dine Ahmed, Kareem Ashraf Elozeiri, Nurkhan Laiyk, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Alexander Aziz, Ryuto Koike, Masahiro Kaneko, Artem Shelmanov, Ekaterina Artemova, Vladislav Mikhailov, Akim Tsvigun, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
2025	—	`conf`	Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. NAACL (System Demonstrations) 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, Cong Zeng, Tatsuki Kuribayashi, 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
2025	—	`conf`	Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract. ECIR (5) Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, André Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle
2025	—	`conf`	Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection. CLEF Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, André Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle
2025	—	`conf`	Overview of the "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2025. CLEF (Working Notes) Janek Bevendorff, Yuxia Wang, Jussi Karlgren, Matti Wiegmann, Maik Fröbe, Akim Tsivgun, Jinyan Su, Zhuohan Xie, Mervat Abassy, Jonibek Mansurov, Rui Xing, Minh Ngoc Ta, Kareem Ashraf Elozeiri, Tianle Gu, Raj Vardhan Tomar, Jiahui Geng, Ekaterina Artemova, Artem Shelmanov, Nizar Habash, Efstathios Stamatatos, Iryna Gurevych, Preslav Nakov, Martin Potthast, Benno Stein
2025	—	`conf`	Proceedings of the 1st Workshop on GenAI Content Detection (GenAIDetect). COLING Workshops Firoj Alam, Preslav Nakov, Nizar Habash, Iryna Gurevych, Shammur A. Chowdhury, Artem Shelmanov, Yuxia Wang, Ekaterina Artemova, Mucahid Kutlu, Georgios Mikros
2025	J	`jnl`	Reasoning with Confidence: Efficient Verification of LLM Reasoning Steps via Uncertainty Heads. CoRR Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan
2025	—	`conf`	Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models. NAACL (Long Papers) Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
2025	J	`jnl`	Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models. CoRR Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
2025	—	`conf`	Uncertainty Quantification for Large Language Models. ACL (5) Artem Shelmanov, Maxim Panov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Timothy Baldwin
2025	J	`jnl`	Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs. CoRR Artem Vazhentsev, Lyudmila Rvanova, Gleb Kuzmin, Ekaterina Fadeeva, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Mrinmaya Sachan, Preslav Nakov, Artem Shelmanov
2025	J	`jnl`	Uncertainty-aware abstention in medical diagnosis based on medical texts. CoRR Artem Vazhentsev, Ivan Sviridov, Alvard Barseghyan, Gleb Kuzmin, Alexander Panchenko, Aleksandr Nesterov, Artem Shelmanov, Maxim Panov
2025	A*	`conf`	Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models. EMNLP Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov
2024	J	`jnl`	Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. CoRR 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
2024	—	`conf`	Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
2024	J	`jnl`	Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
2024	J	`jnl`	Inference-Time Selective Debiasing. CoRR Gleb Kuzmin, Nemeesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov
2024	—	`conf`	LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. EMNLP (System Demonstrations) Mervat Abassy, Kareem Ashraf 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
2024	J	`jnl`	LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. CoRR Mervat Abassy, Kareem Ashraf 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
2024	J	`jnl`	Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. CoRR 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
2024	—	`conf`	M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. EACL (1) 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
2024	—	`conf`	M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. ACL (1) 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
2024	J	`jnl`	M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. CoRR 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
2024	J	`jnl`	Mental Disorders Detection in the Era of Large Language Models. CoRR Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Artem Shelmanov, Ivan V. Smirnov
2024	J	`jnl`	NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links. Lang. Resour. Evaluation Natalia V. Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Igor Rozhkov, Artem Shelmanov, Elena Tutubalina, Alexey Yandutov
2024	—	`conf`	SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. SemEval@NAACL Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold
2024	J	`jnl`	SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. CoRR 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
2024	J	`jnl`	Text augmentation for semantic frame induction and parsing. Lang. Resour. Evaluation Saba Anwar, Artem Shelmanov, Nikolay Arefyev, Alexander Panchenko, Chris Biemann
2024	J	`jnl`	Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models. CoRR Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov
2024	J	`jnl`	Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian. CoRR Aleksandr Nikolich, Konstantin Korolev, Artem Shelmanov
2023	J	`jnl`	Active Learning for Abstractive Text Summarization. CoRR Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov
2023	—	`conf`	Efficient Out-of-Domain Detection for Sequence to Sequence Models. ACL (Findings) Artem Vazhentsev, Akim Tsvigun, Roman Vashurin, Sergey Petrakov, Daniil Vasilev, Maxim Panov, Alexander Panchenko, Artem Shelmanov
2023	—	`conf`	Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. ACL (1) Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov
2023	—	`conf`	LM-Polygraph: Uncertainty Estimation for Language Models. EMNLP (Demos) Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
2023	J	`jnl`	LM-Polygraph: Uncertainty Estimation for Language Models. CoRR Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
2023	J	`jnl`	M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. CoRR Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Alham Fikri Aji, Preslav Nakov
2023	—	`conf`	Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? IJCNLP (1) Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin
2022	—	`conf`	Active Learning for Abstractive Text Summarization. EMNLP (Findings) Akim Tsvigun, Ivan Lysenko, Danila Sedashov, Ivan Lazichny, Eldar Damirov, Vladimir Karlov, Artemy Belousov, Leonid Sanochkin, Maxim Panov, Alexander Panchenko, Mikhail Burtsev, Artem Shelmanov
2022	B	`conf`	Entity Linking over Nested Named Entities for Russian. LREC Natalia V. Loukachevitch, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Suresh Manandhar, Artem Shelmanov, Elena Tutubalina
2022	B	`conf`	Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. LREC Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko
2022	J	`jnl`	Medical Image Captioning via Generative Pretrained Transformers. CoRR Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
2022	J	`jnl`	Neural entity linking: A survey of models based on deep learning. Semantic Web Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann
2022	B	`conf`	NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. AIME Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
2022	J	`jnl`	NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. CoRR Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
2022	A*	`conf`	Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. NeurIPS Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov
2022	—	`conf`	RuCCoN: Clinical Concept Normalization in Russian. ACL (Findings) Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko
2022	—	`conf`	Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2022	J	`jnl`	Towards Computationally Feasible Deep Active Learning. CoRR Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2022	—	`conf`	Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov
2021	A	`conf`	Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. EACL Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
2021	J	`jnl`	Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. CoRR Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
2021	A	`conf`	How Certain is Your Transformer? EACL Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov
2021	—	`conf`	NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis. EMNLP (1) Nikolay Arefyev, Dmitry Kharchev, Artem Shelmanov
2020	J	`jnl`	Neural Entity Linking: A Survey of Models based on Deep Learning. CoRR Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann
2020	Misc	`conf`	RST Discourse Parser for Russian: An Experimental Study of Deep Learning Models. AIST Elena Chistova, Artem Shelmanov, Dina Pisarevskaya, Maria Kobozeva, Vadim Isakov, Alexander Panchenko, Svetlana Toldova, Ivan V. Smirnov
2020	B	`conf`	Word Sense Disambiguation for 158 Languages using Word Embeddings Only. LREC Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko
2020	J	`jnl`	Word Sense Disambiguation for 158 Languages using Word Embeddings Only. CoRR Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko
2019	—	`conf`	A Dataset for Noun Compositionality Detection for a Slavic Language. BSNLP@ACL Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova
2019	—	`conf`	Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. BIBM Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov
2019	—	`conf`	Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images. BIBM Ivan Rodin, Irina Fedulova, Artem Shelmanov, Dmitry V. Dylov
2019	Misc	`conf`	Noun Compositionality Detection Using Distributional Semantics for the Russian Language. AIST Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova
2019	Misc	`conf`	Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. RANLP Daniil Larionov, Artem Shelmanov, Elena Chistova, Ivan V. Smirnov
2018	—	`conf`	Discovering Novel Emergency Events in Text Streams. DAMDID/RCDL Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov
2018	—	`conf`	Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams. DAMDID/RCDL (Selected Papers) Dmitriy Deviatkin, Artem Shelmanov, Daniil Larionov
2016	A	`conf`	Exactus Like: Plagiarism Detection in Scientific Texts. ECIR Ilya Sochenkov, Denis Zubarev, Ilya Tikhomirov, Ivan V. Smirnov, Artem Shelmanov, Roman Suvorov, Gennady S. Osipov
2016	—	`conf`	Text Processing Framework for Emergency Event Detection in the Arctic Zone. DAMDID/RCDL (Selected Papers) Dmitry Devyatkin, Artem Shelmanov
2016	—	`conf`	Towards Text Processing System for Emergency Event Detection in the Arctic Zone. DAMDID/RCDL Dmitriy Deviatkin, Artem Shelmanov
2014	—	`ch.`	Information Retrieval for R&D support. Professional Search in the Modern World Gennady S. Osipov, Ivan V. Smirnov, Ilya Tikhomirov, Ilya Sochenkov, Artem Shelmanov, Alexander V. Shvets