Embedded Ensembles: infinite width limit and operating regimes. - Maksim Velikanov; Roman V. Kail; Ivan Anokhin; Roman Vashurin; Maxim Panov; Alexey Zaytsev 002; Dmitry Yarotsky (AISTATS, 2022)

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 (ACL (Findings), 2023)

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 (EMNLP (Demos), 2023)

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. - Roman Vashurin; Ekaterina Fadeeva; Artem Vazhentsev; Akim Tsvigun; Daniil Vasilev; Rui Xing; Abdelrahman Boda Sadallah; Lyudmila Rvanova; Sergey Petrakov; Alexander Panchenko; Timothy Baldwin; Preslav Nakov; et al. (CoRR, 2024)

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. - Roman Vashurin; Ekaterina Fadeeva; Artem Vazhentsev; Lyudmila Rvanova; Daniil Vasilev; Akim Tsvigun; Sergey Petrakov; Rui Xing; Abdelrahman Boda Sadallah; Kirill Grishchenkov; Alexander Panchenko; Timothy Baldwin; et al. (Trans. Assoc. Comput. Linguistics, 2025)

CoCoA: A Generalized Approach to Uncertainty Quantification by Integrating Confidence and Consistency of LLM Outputs. - Roman Vashurin; Maiya Goloburda; Preslav Nakov; Artem Shelmanov; Maxim Panov (CoRR, 2025)

UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models. - Roman Vashurin; Maiya Goloburda; Preslav Nakov; Maxim Panov (CoRR, 2025)

Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation. - Ekaterina Fadeeva; Aleksandr Rubashevskii; Roman Vashurin; Shehzaad Dhuliawala; Artem Shelmanov; Timothy Baldwin; Preslav Nakov; Mrinmaya Sachan; Maxim Panov (CoRR, 2025)