Artem Shelmanov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
11
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Efficient Hallucination Detection in Automatic Code Generation. | Georgii Andriushchenko, Roman Garaev, Lyudmila Rvanova, Artem Shelmanov, Vladimir V. Ivanov |
| 2026 | ACL | Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation. | Ekaterina Fadeeva, Aleksandr Rubashevskii, Dzianis Piatrashyn, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan, Maxim Panov |
| 2026 | ACL | Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models. | Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan |
| 2026 | ACL | Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling. | Ivan Rodkin, Daniil Orel, Konstantin Smirnov, Arman Bolatov, Bilal Elbouardi, Besher Hassan, Yuri Kuratov, Aydar Bulatov, Preslav Nakov, Timothy Baldwin, Artem Shelmanov, Mikhail Burtsev |
| 2026 | ACL | ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning. | Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, Minh Ngoc Ta, Ekaterina Fadeeva, Artem Vazhentsev, Daria Galimzianova, Nikolai Rozanov, Viktor Mazanov, Jingwei Ni, Tianyi Wu, Igor Kiselev, Mrinmaya Sachan, Iryna Gurevych, Preslav Nakov, Timothy Baldwin, Artem Shelmanov |
| 2026 | ACL | Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI. | Yuxia Wang, Rui Xing, Jonibek Mansurov, Giovanni Puccetti, Zhuohan Xie, Minh Ngoc Ta, Jiahui Geng, Jinyan Su, Mervat Abassy, Saadeldine Eletter, 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 |
| 2026 | ECIR | Uncertainty Quantification for Large Language Models. | Maxim Panov, Artem Shelmanov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Lyudmila Rvanova, Timothy Baldwin |
| 2025 | ACL | How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering. | Irina Nikishina, Saba Anwar, Nikolay Dolgov, Maria Manina, Daria Ignatenko, Artem Shelmanov, Chris Biemann |
| 2025 | ACL | Uncertainty Quantification for Large Language Models. | Artem Shelmanov, Maxim Panov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Timothy Baldwin |
| 2025 | ACL | ATGen: A Framework for Active Text Generation. | 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 | COLING | Proceedings of the 1st Workshop on GenAI Content Detection (GenAIDetect). | Firoj Alam, Preslav Nakov, Nizar Habash, Iryna Gurevych, Shammur A. Chowdhury, Artem Shelmanov, Yuxia Wang, Ekaterina Artemova, Mucahid Kutlu, Georgios Mikros |
| 2025 | COLING | GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human. | 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 | ECIR | 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 Frbe, Bela Gipp, Andr 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 | EMNLP | Exploring Large Language Models for Detecting Mental Disorders. | Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Natalya V. Chudova, Artem Shelmanov, Ivan V. Smirnov |
| 2025 | EMNLP | A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. | 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 | EMNLP | Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models. | Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov |
| 2025 | NAACL | Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models. | Gleb Kuzmin, Neemesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov |
| 2025 | NAACL | Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. | 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 | NAACL | Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models. | Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov |
| 2024 | ACL | Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. | 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 | ACL | M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. | 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 | EACL | M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. | 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 | EMNLP | LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. | 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 |
| 2023 | ACL | Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. | Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov |
| 2023 | ACL | Efficient Out-of-Domain Detection for Sequence to Sequence Models. | Artem Vazhentsev, Akim Tsvigun, Roman Vashurin, Sergey Petrakov, Daniil Vasilev, Maxim Panov, Alexander Panchenko, Artem Shelmanov |
| 2023 | EMNLP | LM-Polygraph: Uncertainty Estimation for Language Models. | 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 | IJCNLP | Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? | Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin |
| 2022 | ACL | RuCCoN: Clinical Concept Normalization in Russian. | Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko |
| 2022 | ACL | Uncertainty Estimation of Transformer Predictions for Misclassification Detection. | Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov |
| 2022 | AIME | NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. | Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh |
| 2022 | EMNLP | Active Learning for Abstractive Text Summarization. | 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 | LREC | Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. | Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko |
| 2022 | LREC | Entity Linking over Nested Named Entities for Russian. | Natalia V. Loukachevitch, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Suresh Manandhar, Artem Shelmanov, Elena Tutubalina |
| 2022 | NAACL | Towards Computationally Feasible Deep Active Learning. | Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov |
| 2021 | EACL | Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. | Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko |
| 2021 | EACL | How Certain is Your Transformer? | Artem Shelmanov, Evgenii Tsymbalov, Dmitry Puzyrev, Kirill Fedyanin, Alexander Panchenko, Maxim Panov |
| 2021 | EMNLP | NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis. | Nikolay Arefyev, Dmitry Kharchev, Artem Shelmanov |
| 2020 | AIST | RST Discourse Parser for Russian: An Experimental Study of Deep Learning Models. | Elena Chistova, Artem Shelmanov, Dina Pisarevskaya, Maria Kobozeva, Vadim Isakov, Alexander Panchenko, Svetlana Toldova, Ivan V. Smirnov |
| 2020 | LREC | Word Sense Disambiguation for 158 Languages using Word Embeddings Only. | Varvara Logacheva, Denis Teslenko, Artem Shelmanov, Steffen Remus, Dmitry Ustalov, Andrey Kutuzov, Ekaterina Artemova, Chris Biemann, Simone Paolo Ponzetto, Alexander Panchenko |
| 2019 | AIST | Noun Compositionality Detection Using Distributional Semantics for the Russian Language. | Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova |
| 2019 | RANLP | Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. | Daniil Larionov, Artem Shelmanov, Elena Chistova, Ivan V. Smirnov |
| 2016 | ECIR | Exactus Like: Plagiarism Detection in Scientific Texts. | Ilya Sochenkov, Denis Zubarev, Ilya Tikhomirov, Ivan V. Smirnov, Artem Shelmanov, Roman Suvorov, Gennady S. Osipov |