Artem Shelmanov
Artem Shelmanov has 2 papers in our library, in 2024–2025, most of them on Semitic languages; often with Alexander Panchenko, Ekaterina Fadeeva, Hamdy Mubarak.
OpenAlex · ORCID · h-index 16 · 92 works · 827 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 281 citations in our library · 9 more in our library without a page yet · ⭐ Paper Star rank #5100
Affiliations
🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi ·
United Arab Emirates2022–2026 · 17 papers🎓The University of MelbourneMelbourne ·
Australia2026 · 2 papers🎓Skolkovo Institute of Science and TechnologySkolkovo ·
Russia2019–2023 · 11 papers🏛️Russian Academy of SciencesMoscow ·
Russia2014–2022 · 10 papers🏛️Federal Research Center “Computer Science and Control” of the Russian Academy of SciencesMoscow ·
Russia2016–2022 · 9 papers🤝AIRI - Artificial Intelligence Research InstituteMoscow ·
Russia2021–2023 · 8 papers🎓New York University Abu DhabiAbu Dhabi ·
United Arab Emirates2023–2024 · 4 papers🎓Lomonosov Moscow State UniversityMoscow ·
Russia2021–2023 · 4 papers🔬Institute for Systems AnalysisMoscow ·
Russia2014–2017 · 4 papers🎓National Research University Higher School of EconomicsMoscow ·
Russia2021–2024 · 2 papers
Concepts, shelves and topics
📚 Shelves 7 Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Social Sciences · 1 work Sociology and Political Science · 1 work Computer Vision and Pattern Recognition · 1 work
🧭 Topics 1 Semitic languages · 1 work
Works by year
2020s
Papers
- Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification (2024 · 95 citations)
LLMs often slip false statements into otherwise accurate text, and readers rarely notice them. The authors propose a fact-checking pipeline that needs no external knowledge base. The output is split into atomic claims (as in FactScore, via the OpenAI Chat API), and each claim is aligned with its tokens. Token-level… - Uncertainty-driven Partial Diacritization for Arabic Text (2025 · 1 citation)
Full diacritization makes Arabic text dense, so the paper asks which diacritics to keep and which to drop.
All works
- M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection (original ↗)Yuxia Wang et al.2023 · arXiv:2305.14902 · 106 citations · no summary yet
- Fact-Checking the Output of Large Language Models via Token-Level Uncertainty QuantificationEkaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.Findings of the Association for Computational… · 95 citations
- LM-Polygraph: Uncertainty Estimation for Language Models (original ↗)Ekaterina Fadeeva et al.2023 · arXiv:2311.07383 · 55 citations · no summary yet
- Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models (original ↗)Artem Vazhentsev et al.2025 · Proceedings of the 2025 Conference of the… · 13 citations · no summary yet
- Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models (original ↗)Artem Vazhentsev et al.2025 · Proceedings of the 2025 Conference on Empirical… · 10 citations · no summary yet
- Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI (original ↗)Yuxia Wang et al.2026 · Proceedings of the 64th Annual Meeting of the… · 5 citations · no summary yet
- ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models (original ↗)Jingwei Ni et al.2026 · Proceedings of the 64th Annual Meeting of the… · 1 citation · no summary yet
- Uncertainty-driven Partial Diacritization for Arabic TextHumaid Ali Alblooshi, Artem Shelmanov, Hanan AldarmakiSemitic languages · 1 citation
- Argument-Based Comparative Question Answering Evaluation Benchmark (original ↗)Irina Nikishina et al.2026 · Proceedings of the 13th Workshop on Argument… · no summary yet
- Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling (original ↗)Ivan Rodkin et al.2026 · Findings of the Association for Computational… · no summary yet
- ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning (original ↗)Vladislav Smirnov et al.2026 · Proceedings of the 64th Annual Meeting of the… · no summary yet
Co-authors here
- Alexander Panchenko
- Ekaterina Fadeeva
- Hamdy Mubarak
- Hanan Aldarmaki
- Haonan Li
- Humaid Ali Alblooshi
- Preslav Nakov
- Sergey Petrakov
- Timothy Baldwin
Venues
- Proceedings of the 64th Annual Meeting of the Association… ×3
- Findings of the Association for Computational Linguistics: 2024
- Transactions of the Association for Computational…
- Findings of the Association for Computational Linguistics…
- Proceedings of the 13th Workshop on Argument Mining and…
- Proceedings of the 2025 Conference of the Nations of the…
- Proceedings of the 2025 Conference on Empirical Methods in…
- Proceedings of the 2nd Workshop on Uncertainty-Aware NLP…
Cited by
Updated
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