Shelmanov, Artem
Mohamed bin Zayed University of Artificial Intelligence
6 papers on CoChatORCID 0000-0002-2151-6212
Most cited papers
- Verified
Fact-checking the output of large language models via token-level uncertainty quantification
Fadeeva, E., Rubashevskii, A., Shelmanov, A., Petrakov, S., Li, H., Mubarak, H., Tsymbalov, E., Kuzmin, G., Panchenko, A., Baldwin, T., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024
Topic ModelingNatural Language Processing Techniques
Cited by 29
- Verified
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
Wang, Y., Mansurov, J., Ivanov, P., Su, J., Shelmanov, A., Tsvigun, A., Mohammed Afzal, O., Mahmoud, T., Puccetti, G., Arnold, T., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 25
- Verified
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Vashurin, R., Fadeeva, E., Vazhentsev, A., Rvanova, L., Vasilev, D., Tsvigun, A., Petrakov, S., Xing, R., Sadallah, A., Grishchenkov, K., et al. (2025) · Transactions of the Association for Computational Linguistics
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 21
- Verified
LM-Polygraph: Uncertainty estimation for language models
Fadeeva, E., Vashurin, R., Tsvigun, A., Vazhentsev, A., Petrakov, S., Fedyanin, K., Vasilev, D., Goncharova, E., Panchenko, A., Panov, M., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Natural Language Processing TechniquesTopic Modeling
Cited by 20
- Verified
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
Wang, Y., Mansurov, J., Ivanov, P., Su, J., Shelmanov, A., Tsvigun, A., Whitehouse, C., Afzal, O. M., Mahmoud, T., Sasaki, T., et al. (2023) · arXiv
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 19
- Verified
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
Abassy, M., Elozeiri, K., Aziz, A., Ta, M. N., Tomar, R. V., Adhikari, B., Ahmed, S. E. D., Wang, Y., Mohammed Afzal, O., Xie, Z., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 7
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