Artem Shelmanov

Orcid: 0000-0002-2151-6212

According to our database1, Artem Shelmanov authored at least 34 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification.
CoRR, 2024

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection.
CoRR, 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

2023
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection.
CoRR, 2023

Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?
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

LM-Polygraph: Uncertainty Estimation for Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Efficient Out-of-Domain Detection for Sequence to Sequence Models.
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
Neural entity linking: A survey of models based on deep learning.
Semantic Web, 2022

Medical Image Captioning via Generative Pretrained Transformers.
CoRR, 2022

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Computationally Feasible Deep Active Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Entity Linking over Nested Named Entities for Russian.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Active Learning for Abstractive Text Summarization.
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

Uncertainty Estimation of Transformer Predictions for Misclassification Detection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

RuCCoN: Clinical Concept Normalization in Russian.
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

How Certain is Your Transformer?
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
Word Sense Disambiguation for 158 Languages using Word Embeddings Only.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

RST Discourse Parser for Russian: An Experimental Study of Deep Learning Models.
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

A Dataset for Noun Compositionality Detection for a Slavic Language.
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, 2019

2018
Discovering Novel Emergency Events in Text Streams.
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
Text Processing Framework for Emergency Event Detection in the Arctic Zone.
Proceedings of the Data Analytics and Management in Data Intensive Domains, 2016

Towards Text Processing System for Emergency Event Detection in the Arctic Zone.
Proceedings of the Selected Papers of the XVIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016), 2016

Exactus Like: Plagiarism Detection in Scientific Texts.
Proceedings of the Advances in Information Retrieval, 2016

2014
Information Retrieval for R&D support.
Proceedings of the Professional Search in the Modern World, 2014


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