Author

Artem Vazhentsev

Observed name: Vazhentsev, Artem

Institutions: The University of Melbourne, Mohamed bin Zayed University of Artificial Intelligence, École Polytechnique Fédérale de Lausanne

Observed institutions: Skolkovo Institute of Science and Technology, The University of Melbourne, Mohamed bin Zayed University of Artificial Intelligence, AIRI - Artificial Intelligence Research Institute, École Polytechnique Fédérale de Lausanne

OpenAlex ID: A5054388208

Uncertainty Estimation of Transformer Predictions for Misclassification Detection

2022 · Artem Vazhentsev, Gleb Kuzmin, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 22

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Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

2025 · Roman Vashurin, Ekaterina Fadeeva, et al. · Transactions of the Association for Computational Linguistics · 20

LM-Polygraph: Uncertainty Estimation for Language Models

2023 · Ekaterina Fadeeva, Roman Vashurin, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) · 20

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Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

2022 · Nikita Kotelevskii, Aleksandr Artemenkov, et al. · neural information processing systems · 13

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Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks

2023 · Artem Vazhentsev, Gleb Kuzmin, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 11

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Efficient Out-of-Domain Detection for Sequence to Sequence Models

2023 · Artem Vazhentsev, Akim Tsvigun, et al. · 6

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ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts

2022 · Akim Tsvigun, Leonid Sanochkin, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) · 6

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A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs

2025 · Artem Shelmanov, Ekaterina Fadeeva, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5

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Uncertainty-aware abstention in medical diagnosis based on medical texts

2026 · Artem Vazhentsev, Ivan Sviridov, et al. · npj Artificial Intelligence · 3

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Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?

2023 · Gleb Kuzmin, Artem Vazhentsev, et al. · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) · 3

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Uncertainty Quantification for Large Language Models

2025 · Artem Shelmanov, Maxim Panov, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 2

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When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA

2025 · Elisei Rykov, Kseniia Petrushina, et al. · 2

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Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models

2025 · Artem Vazhentsev, Ekaterina Fadeeva, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2

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Uncertainty Quantification for Large Language Models

2026 · Maxim Panov, Artem Shelmanov, et al. · Lecture notes in computer science · 1

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models

2025 · Artem Vazhentsev, Lyudmila Rvanova, et al. · Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) · 1

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Industry vs Academia: Running a Course on Transformers in Two Setups

2024 · Irina Nikishina, Maria Tikhonova, et al. · 1

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Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models

2026 · Vázquez, Raúl, Sinha, Aman, et al. · arXiv (Cornell University)

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Failing to See or Failing to Know? Attributing Errors in Vision-Language Models

2026 · Vo, Khang Nhat Hoang, Vazhentsev, Artem, et al. · arXiv (Cornell University)

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Bayesian control for coding agents

2026 · Papamarkou, Theodore, Smirnov, Vladislav, et al. · arXiv (Cornell University)