Artem Shelmanov
Orcid: 0000-0002-2151-6212
According to our database1,
Artem Shelmanov
authored at least 47 papers
between 2014 and 2024.
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Bibliography
2024
NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links.
Lang. Resour. Evaluation, June, 2024
Lang. Resour. Evaluation, June, 2024
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection.
Dataset, April, 2024
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.
CoRR, 2024
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models.
CoRR, 2024
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph.
CoRR, 2024
Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian.
CoRR, 2024
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection.
CoRR, 2024
CoRR, 2024
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection.
CoRR, 2023
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization.
Proceedings of the Artificial Intelligence in Medicine, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the Analysis of Images, Social Networks and Texts, 2020
2019
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Noun Compositionality Detection Using Distributional Semantics for the Russian Language.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2019
2018
Proceedings of the Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018), 2018
Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams.
Proceedings of the Data Analytics and Management in Data Intensive Domains, 2018
2016
Proceedings of the Data Analytics and Management in Data Intensive Domains, 2016
Proceedings of the Selected Papers of the XVIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016), 2016
Proceedings of the Advances in Information Retrieval, 2016
2014
Proceedings of the Professional Search in the Modern World, 2014