Multidimensional assessment of R&D performance: evidence from the pilot evaluation exercise of Russian public research institutions. - Konstantin Fursov; Gleb Kuzmin (ISSI, 2017)

Uncertainty Estimation of Transformer Predictions for Misclassification Detection. - Artem Vazhentsev; Gleb Kuzmin; Artem Shelmanov; Akim Tsvigun; Evgenii Tsymbalov; Kirill Fedyanin; Maxim Panov; Alexander Panchenko; Gleb Gusev; Mikhail Burtsev 001; Manvel Avetisian; Leonid Zhukov (ACL (1), 2022)

ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts. - Akim Tsvigun; Leonid Sanochkin; Daniil Larionov; Gleb Kuzmin; Artem Vazhentsev; Ivan Lazichny; Nikita Khromov; Danil Kireev; Aleksandr Rubashevskii; Olga Shahmatova (EMNLP (Demos), 2022)

Towards Computationally Feasible Deep Active Learning. - Akim Tsvigun; Artem Shelmanov; Gleb Kuzmin; Leonid Sanochkin; Daniil Larionov; Gleb Gusev; Manvel Avetisian; Leonid Zhukov (NAACL-HLT (Findings), 2022)

Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. - Artem Vazhentsev; Gleb Kuzmin; Akim Tsvigun; Alexander Panchenko; Maxim Panov; Mikhail Burtsev 001; Artem Shelmanov (ACL (1), 2023)

Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? - Gleb Kuzmin; Artem Vazhentsev; Artem Shelmanov; Xudong Han; Simon Suster; Maxim Panov; Alexander Panchenko; Timothy Baldwin (IJCNLP (1), 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)

Inference-Time Selective Debiasing. - Gleb Kuzmin; Nemeesh Yadav; Ivan V. Smirnov; Timothy Baldwin; Artem Shelmanov (CoRR, 2024)

Mental Disorders Detection in the Era of Large Language Models. - Gleb Kuzmin; Petr Strepetov; Maksim Stankevich; Artem Shelmanov; Ivan V. Smirnov (CoRR, 2024)

Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models. - Gleb Kuzmin; Neemesh Yadav; Ivan V. Smirnov; Timothy Baldwin; Artem Shelmanov (NAACL (Short Papers), 2025)

Uncertainty-aware abstention in medical diagnosis based on medical texts. - Artem Vazhentsev; Ivan Sviridov; Alvard Barseghyan; Gleb Kuzmin; Alexander Panchenko; Aleksandr Nesterov; Artem Shelmanov; Maxim Panov (CoRR, 2025)

Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs. - Artem Vazhentsev; Lyudmila Rvanova; Gleb Kuzmin; Ekaterina Fadeeva; Ivan Lazichny; Alexander Panchenko; Maxim Panov; Timothy Baldwin; Mrinmaya Sachan; Preslav Nakov; Artem Shelmanov (CoRR, 2025)

Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts. - Danil Sivtsov; Ivan Rodkin; Gleb Kuzmin; Yuri Kuratov; Ivan V. Oseledets (CoRR, 2025)