🧑‍🔬 Alexander Panchenko

🏛️ Affiliations

🎓Skolkovo Institute of Science and TechnologySkolkovo · Russia2019–2026 · 105 paperscurrent🤝AIRI - Artificial Intelligence Research InstituteMoscow · Russia2023–2026 · 40 paperscurrent🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2025–2026 · 2 paperscurrent🏛️Russian Academy of SciencesMoscow · Russia2026 · 1 papercurrent🎓Universität HamburgHamburg · Germany2013–2019 · 34 papers🎓Washington State UniversityPullman · United States2003–2024 · 16 papers🔬Artificial Intelligence Research InstituteCerdanyola del Vallès · Spain2023–2025 · 12 papers🎓Technische Universität DarmstadtDarmstadt · Germany2015–2017 · 10 papers🎓UCLouvainLouvain-la-Neuve · Belgium2010–2014 · 10 papers🎓National Research University Higher School of EconomicsMoscow · Russia2020–2025 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. ParaDetox: Detoxification with Parallel Data (2022 · 120 citations)
   Most detoxification systems learn from non-parallel data because there were no corpora pairing toxic sentences with neutral rewrites. Such pairs do not occur naturally and are costly to write. The authors address this with a crowdsourcing pipeline on Yandex.Toloka that needs no expert reviewers:
2. 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…
3. Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph (2025 · 66 citations)
   Uncertainty quantification (UQ) can help flag hallucinated or low-quality outputs of large language models. Earlier work on UQ for LLMs used incompatible methods and evaluation setups, so findings were hard to compare.

All works

33 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. ParaDetox: Detoxification with Parallel DataVarvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, et al.Annual Meeting of the Association for… · 120 citations
2. Text Detoxification using Large Pre-trained Neural Models (original ↗)David Dale et al.2021 · Proceedings of the 2021 Conference on Empirical… · 99 citations · no summary yet
3. 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
4. TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling (original ↗)Alexander Panchenko et al.2016 · Proceedings of the 10th International Workshop… · 90 citations · no summary yet
5. Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-PolygraphRoman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, et al.Transactions of the Association for… · 66 citations
6. Every Child Should Have Parents: A Taxonomy Refinement Algorithm Based on Hyperbolic Term Embeddings (original ↗)Rami Aly et al.2019 · Proceedings of the 57th Annual Meeting of the… · 62 citations · no summary yet
7. LM-Polygraph: Uncertainty Estimation for Language Models (original ↗)Ekaterina Fadeeva et al.2023 · arXiv:2311.07383 · 55 citations · no summary yet
8. RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language (original ↗)Alexander Panchenko et al.2018 · arXiv:1803.05795 · 29 citations · no summary yet
9. A large-scale computational study of content preservation measures for text style transfer and paraphrase generation (original ↗)Nikolay Babakov et al.2022 · Proceedings of the 60th Annual Meeting of the… · 23 citations · no summary yet
10. Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home (original ↗)Viktor Moskvoretskii et al.2025 · Proceedings of the 63rd Annual Meeting of the… · 21 citations · no summary yet
11. MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages (original ↗)Daryna Dementieva, Nikolay Babakov, Alexander Panchenko2024 · Proceedings of the 2024 Conference of the North… · 19 citations · no summary yet
12. Don't lose the message while paraphrasing: A study on content preserving style transfer (original ↗)Nikolay Babakov et al.2023 · arXiv:2308.09055 · 18 citations · no summary yet
13. Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification (original ↗)Daryna Dementieva et al.2023 · Proceedings of the 13th International Joint… · 18 citations · no summary yet
14. Detecting Text Formality: A Study of Text Classification Approaches (original ↗)Daryna Dementieva, Nikolay Babakov, Alexander Panchenko2023 · Proceedings of the 14th International… · 15 citations · no summary yet
15. 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
16. Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning (original ↗)Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina2024 · Proceedings of the 2024 Joint International… · 12 citations · no summary yet
17. xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics (original ↗)Daniil Larionov et al.2024 · Proceedings of the 2024 Conference on Empirical… · 11 citations · no summary yet
18. LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification (original ↗)Daniil Moskovskiy, Sergey Pletenev, Alexander Panchenko2024 · Findings of the Association for Computational… · 11 citations · no summary yet
19. Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. (original ↗)Daniil Moskovskiy, Daryna Dementieva, Alexander Panchenko2022 · Proceedings of the 60th Annual Meeting of the… · 11 citations · no summary yet
20. 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
21. A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification (original ↗)Varvara Logacheva et al.2022 · Proceedings of the 2nd Workshop on Human… · 10 citations · no summary yet
22. Methods for Detoxification of Texts for the Russian Language (original ↗)Daryna Dementieva; Daniil Moskovskiy; Varvara Logacheva; David Dale; Olga Kozlova; Nikita Semenov;, Alexander Panchenko2021 · arXiv:2105.09052 · 8 citations · no summary yet
23. A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction (original ↗)Panchenko, Alexander2012 · Proceedings of the Joint Conference… · 6 citations · no summary yet
24. Evaluating Text Style Transfer: A Nine-language Benchmark for Text Detoxification (original ↗)Vitaly Protasov et al.2026 · Proceedings of the Fifteenth Language Resources… · 3 citations · no summary yet
25. Studying the role of named entities for content preservation in text style transfer (original ↗)Nikolay Babakov et al.2022 · arXiv:2206.09676 · Natural Language Processing… · 3 citations · no summary yet

See all 33 works →

🤝 Co-authors here

12 co-authors with a page, the most papers together first.

• Ekaterina Fadeeva ×2
• Sergey Petrakov ×2
• Timothy Baldwin ×2
• Abdelrahman Sadallah
• Artem Shelmanov
• Daniil Moskovskiy
• Daryna Dementieva
• David Dale
• Hamdy Mubarak
• Haonan Li
• Preslav Nakov
• Varvara Logacheva

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational… ×6: 2022
• Proceedings of the 2021 Conference on Empirical Methods in… ×3
• Proceedings of the 60th Annual Meeting of the Association… ×2
• Proceedings of the Thirteenth Language Resources and… ×2
• International Conference on Computational Linguistics…
• Findings of the Association for Computational Linguistics: 2024
• Transactions of the Association for Computational…: 2025
• Findings of the Association for Computational Linguistics…
• Proceedings of TALN 2013 (Volume 2: Short Papers)
• Proceedings of the 10th International Workshop on Semantic…
• Proceedings of the 13th International Joint Conference on…
• Proceedings of the 14th International Conference on Recent…

🔗 Cited by

Papers of our library cite their works 527 times (of the 141,840 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated 24 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/alexander-panchenko/