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Aleksandr Rubashevskii

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
2024 · Ekaterina Fadeeva, Aleksandr Rubashevskii, et al. · 29
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Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
2024 · Yuxia Wang, Revanth Gangi Reddy, et al. · 24
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Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning
2020 · Vito M. Leli, Aleksandr Rubashevskii, et al. · International Conference on Control, Automation, Robotics and Vision (ICARCV) · 14
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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Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
2023 · Wang, Yuxia, Reddy, Revanth Gangi, et al. · arXiv (Cornell University) · 3
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Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation
2026 · Ekaterina Fadeeva, Aleksandr Rubashevskii, et al. · 2
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Efficient Conformal Prediction under Data Heterogeneity
2023 · Plassier, Vincent, Kotelevskii, Nikita, et al. · arXiv (Cornell University) · 2
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Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
2023 · Plassier, Vincent, Makni, Mehdi, et al. · arXiv (Cornell University) · 2
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Scalable Batch Acquisition for Deep Bayesian Active Learning
2023 · Aleksandr Rubashevskii, Daria Kotova, et al. · Society for Industrial and Applied Mathematics eBooks · 2
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Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
2025 · Fadeeva, Ekaterina, Goloburda, Maiya, et al. · arXiv (Cornell University) · 1
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MIRAGE: Defending Long-Form RAG Against Misinformation Pollution
2026 · Eletter, Saadeldine, Zeng, Ruihong, et al. · arXiv (Cornell University)
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Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation
2026 · Association for Computational Linguistics 2026, Baldwin, Timothy, et al. · Underline Science Inc.
Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
2026 · Rubashevskii, Aleksandr, Piatrashyn, Dzianis, et al. · arXiv (Cornell University)
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CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
2025 · Roman Vashurin, Maiya Goloburda, et al. · neural information processing systems
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
2024 · Fadeeva, Ekaterina, Rubashevskii, Aleksandr, et al. · arXiv (Cornell University)
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On stochastic stabilization in sample-and-hold sense
2021 · Pavel Osinenko, Ksenia Makarova, et al. · arXiv (Cornell University)
Works count: 18
Citation count: 85
H-index: 4
I10-index: 3
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