Ranking Approach to Monolingual Question Answering over Knowledge Graphs. - Nikita Baramiia; Alina Rogulina; Sergey Petrakov; Valerii Kornilov; Anton Razzhigaev (NLIWoD@ESWC, 2022)

Unsupervised construction of representations for oil wells via Transformers. - Alina Rogulina; Nikita Baramiia; Valerii Kornilov; Sergey Petrakov; Alexey Zaytsev 002 (CoRR, 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)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. - Ekaterina Fadeeva; Aleksandr Rubashevskii; Artem Shelmanov; Sergey Petrakov; Haonan Li 002; Hamdy Mubarak; Evgenii Tsymbalov; Gleb Kuzmin; Alexander Panchenko; Timothy Baldwin; Preslav Nakov; Maxim Panov (ACL (Findings), 2024)

SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection. - Elisei Rykov; Yana Shishkina; Kseniia Petrushina; Ksenia Titova; Sergey Petrakov; Alexander Panchenko (SemEval@NAACL, 2024)

Robust Representation Learning via Sparse Attention Mechanism for Similarity Models. - Alina Ermilova; Nikita Baramiia; Valerii Kornilov; Sergey Petrakov; Alexey Zaytsev 002 (IEEE Access, 2024)

SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection. - Elisei Rykov; Yana Shishkina; Kseniia Petrushina; Kseniia Titova; Sergey Petrakov; Alexander Panchenko (CoRR, 2024)

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)