Gleb Kuzmin - RankMe

17 papers A* 2Journal 7Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts. CoRR Danil Sivtsov, Ivan Rodkin, Gleb Kuzmin, Yuri Kuratov, Ivan V. Oseledets
2025	A*	`conf`	Exploring Large Language Models for Detecting Mental Disorders. EMNLP Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Natalya V. Chudova, Artem Shelmanov, Ivan V. Smirnov
2025	—	`conf`	Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models. NAACL (Short Papers) Gleb Kuzmin, Neemesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov
2025	J	`jnl`	Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs. CoRR Artem Vazhentsev, Lyudmila Rvanova, Gleb Kuzmin, Ekaterina Fadeeva, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Mrinmaya Sachan, Preslav Nakov, Artem Shelmanov
2025	J	`jnl`	Uncertainty-aware abstention in medical diagnosis based on medical texts. CoRR Artem Vazhentsev, Ivan Sviridov, Alvard Barseghyan, Gleb Kuzmin, Alexander Panchenko, Aleksandr Nesterov, Artem Shelmanov, Maxim Panov
2025	A*	`conf`	Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models. EMNLP Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov
2024	—	`conf`	Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
2024	J	`jnl`	Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
2024	J	`jnl`	Inference-Time Selective Debiasing. CoRR Gleb Kuzmin, Nemeesh Yadav, Ivan V. Smirnov, Timothy Baldwin, Artem Shelmanov
2024	J	`jnl`	Mental Disorders Detection in the Era of Large Language Models. CoRR Gleb Kuzmin, Petr Strepetov, Maksim Stankevich, Artem Shelmanov, Ivan V. Smirnov
2023	—	`conf`	Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. ACL (1) Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov
2023	—	`conf`	Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? IJCNLP (1) Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin
2022	—	`conf`	ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts. EMNLP (Demos) Akim Tsvigun, Leonid Sanochkin, Daniil Larionov, Gleb Kuzmin, Artem Vazhentsev, Ivan Lazichny, Nikita Khromov, Danil Kireev, Aleksandr Rubashevskii, Olga Shahmatova
2022	—	`conf`	Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2022	J	`jnl`	Towards Computationally Feasible Deep Active Learning. CoRR Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2022	—	`conf`	Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov
2017	—	`conf`	Multidimensional assessment of R&D performance: evidence from the pilot evaluation exercise of Russian public research institutions. ISSI Konstantin Fursov, Gleb Kuzmin