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RuCCoN: Clinical Concept Normalization in Russian., , , , , , , , , and . ACL (Findings), page 239-245. Association for Computational Linguistics, (2022)Towards Computationally Feasible Deep Active Learning., , , , , , , and . NAACL-HLT (Findings), page 1198-1218. Association for Computational Linguistics, (2022)Medical Image Captioning via Generative Pretrained Transformers., , , , , and . CoRR, (2022)LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection., , , , , , , , , and 14 other author(s). CoRR, (2024)M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection., , , , , , , , , and 4 other author(s). ACL (1), page 3964-3992. Association for Computational Linguistics, (2024)NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization., , , , , and . AIME, volume 13263 of Lecture Notes in Computer Science, page 76-87. Springer, (2022)Active Learning for Abstractive Text Summarization., , , , , , , , , and 2 other author(s). CoRR, (2023)Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates., , , and . RANLP, page 619-628. INCOMA Ltd., (2019)Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates., , , , , , , , , and . EACL, page 1698-1712. Association for Computational Linguistics, (2021)Multitask and Multimodal Neural Network Model for Interpretable Analysis of X-ray Images., , , and . BIBM, page 1601-1604. IEEE, (2019)