--- title: "Ekaterina Fadeeva · ETH Zurich — author profile and papers" description: "Ekaterina Fadeeva, ETH Zurich: 2 papers on Elamur Research (2024–2025), h-index 4 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/ekaterina-fadeeva/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ekaterina-fadeeva/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ekaterina Fadeeva # Ekaterina Fadeeva Ekaterina Fadeeva has 2 papers in our library, in 2024–2025; often with [Alexander Panchenko](https://md.research.elamur.ai/free/en/authors/alexander-panchenko/), [Sergey Petrakov](https://md.research.elamur.ai/free/en/authors/sergey-petrakov/), [Timothy Baldwin](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5102590169) · [**h-index 4**](https://openalex.org/authors/A5102590169) · [27 works](https://openalex.org/works?filter=author.id:A5102590169) · [77 citations](https://openalex.org/works?filter=author.id:A5102590169&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ekaterina-fadeeva/#papers) · [🔗 Cited 179 times in our library](https://md.research.elamur.ai/free/en/authors/ekaterina-fadeeva/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4817](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4817) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ekaterina+Fadeeva) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ekaterina+Fadeeva) · [dblp](https://dblp.org/search?q=Ekaterina+Fadeeva) · [ACL Anthology](https://aclanthology.org/search/?q=Ekaterina+Fadeeva) ## Affiliations [🎓**ETH Zurich** Zurich · Switzerland 2025–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**National Research University Higher School of Economics** Moscow · Russia 2023–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/national-research-university-higher-school-of-economics/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) ## Works by year ### 2020s [**2025** 1 paper Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph](https://md.research.elamur.ai/free/en/papers/vashurin-2025-benchmarking-uncertainty-quantification-methods-large/) · [**2024** 1 paper Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification](https://md.research.elamur.ai/free/en/papers/fadeeva-2024-fact-checking-output-large-language/) ## Papers The most cited first (OpenAlex and our library). 1. **[Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification](https://md.research.elamur.ai/free/en/papers/fadeeva-2024-fact-checking-output-large-language/)** *(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… 2. **[Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph](https://md.research.elamur.ai/free/en/papers/vashurin-2025-benchmarking-uncertainty-quantification-methods-large/)** *(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 6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification](https://md.research.elamur.ai/free/en/papers/fadeeva-2024-fact-checking-output-large-language/)**Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 95 citations* 2. **[Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph](https://md.research.elamur.ai/free/en/papers/vashurin-2025-benchmarking-uncertainty-quantification-methods-large/)**Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, et al.*[Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/) · 66 citations* 3. **[LM-Polygraph: Uncertainty Estimation for Language Models](https://arxiv.org/abs/2311.07383) · original ↗ · no summary yet · arXiv:2311.07383**Ekaterina Fadeeva et al.*2023 · 55 citations* 4. **[Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models](https://aclanthology.org/2025.emnlp-main.1807/) · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…**Artem Vazhentsev et al.*2025 · 10 citations* 5. **[ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models](https://aclanthology.org/2026.acl-long.536/) · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…**Jingwei Ni et al.*2026 · 1 citation* 6. **[ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning](https://aclanthology.org/2026.acl-demo.70/) · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…**Vladislav Smirnov et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Alexander Panchenko](https://md.research.elamur.ai/free/en/authors/alexander-panchenko/) ×2 - [Sergey Petrakov](https://md.research.elamur.ai/free/en/authors/sergey-petrakov/) ×2 - [Timothy Baldwin](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/) ×2 - [Abdelrahman Sadallah](https://md.research.elamur.ai/free/en/authors/abdelrahman-sadallah/) - [Artem Shelmanov](https://md.research.elamur.ai/free/en/authors/artem-shelmanov/) - [Hamdy Mubarak](https://md.research.elamur.ai/free/en/authors/hamdy-mubarak/) - [Haonan Li](https://md.research.elamur.ai/free/en/authors/haonan-li/) - [Preslav Nakov](https://md.research.elamur.ai/free/en/authors/preslav-nakov/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 64th Annual Meeting of the Association… ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2025](https://md.research.elamur.ai/free/en/venues/tacl/2025/) - Proceedings of the 2025 Conference on Empirical Methods in… ## Cited by Papers of our library cite their works 179 times (of the 141,840 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/ekaterina-fadeeva/cited-by/). Updated 24 October 2026