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Ekaterina Fadeeva

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

3

Active years

2023–2026

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLFaithfulness-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
2026ACLEfficient 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
2026ACLThinkBooster: 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
2026ECIRUncertainty Quantification for Large Language Models.Maxim Panov, Artem Shelmanov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Lyudmila Rvanova, Timothy Baldwin
2025ACLUncertainty Quantification for Large Language Models.Artem Shelmanov, Maxim Panov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Timothy Baldwin
2025EMNLPA 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
2025EMNLPUnconditional 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
2024ACLFact-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
2023EMNLPLM-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