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Proceedings of the 28th Conference on Computational Natural Language Learning
Compiler: L. Barak, M. Alikhani
CoNLL is a conference organized yearly by SIGNLL (ACL’s Special Interest Group on Natural Language Learning), focusing on theoretically, cognitively and scientifically motivated approaches to computational linguistics. This year, CoNLL was held alongside EMNLP 2024.
Chapters
Bazhukov M., Voloshina E., Sergey Pletnev et al., , in: Proceedings of the 28th Conference on Computational Natural Language Learning.: Association for Computational Linguistics, 2024. P. 280–290.
Added: March 11, 2025
Springer, 2027.
This two-volume set LNAI16934 - 16935 constitutes the refereed proceedings of the 28th International Conference on Speech and Computer SPECOM 2026, held in Ohrid, North Macedonia, during September 17–18, 2026.
The 65 full papers included in these volumes were carefully reviewed and selected from 99 submissions. They were organized in topical sections as follows:
Part I: Automatic ...
Added: September 20, 2026
Starodubov K., Елистратов А. А., Громов Ю. Ю. et al., ИД Академии Жуковского, 2026.
The textbook is intended for preparing and completing practical assignments on biometric identification and the protection of biometric data. The theoretical part briefly presents the information required for the practical work: basic concepts and quality metrics, voice and facial modalities, regulatory framework and the Unified Biometric System, the mathematical foundations of template protection, and the ...
Added: September 19, 2026
Кузнецов М. Е., Полякова М., Лукьянович В. et al., ФАНУ "Востокгосплан", 2026.
Обзор международных практик развития робототехники и искусственного интеллекта и оценка возможностей их применения в условиях России, в первую очередь для Дальнего Востока и Арктической зоны РФ ...
Added: September 16, 2026
Starodubov K., Кривоногов А. А., Плоткин А. С. et al., Нано-био-технологии. Тепло- и электроэнергетика. Математическое моделирование: сборник статей III международной научно-практической конференции (Липецкий государственный технический университет, Липецк, Россия) 2025 С. 300–309
The paper considers the problem of assessing the criticality of defects in smart contracts, defines the constituent parameters of criticality of defects and substantiates their representation in the form of LR-type fuzzy numbers. An approach based on the use of LR-type fuzzy numbers and nonlinear optimization methods is proposed to assess the criticality of defects ...
Added: September 7, 2026
Starodubov K., Гвасалия Г. В., Карасев П. И., Нано-био-технологии. Тепло- и электроэнергетика. Математическое моделирование: сборник статей III международной научно-практической конференции (Липецкий государственный технический университет, Липецк, Россия) 2025 С. 219–223
This paper discusses the concept of neural networks, convolutional neural networks, their architecture and their operation principle. The main attention is paid to testing the reliability of storing images of people as embeddings, which are considered to be unrecoverable in the original image. In the course of the research an experiment is carried out: the ...
Added: September 6, 2026
Starodubov K., Шейкин В. В., Карасев П. И., XXI век: итоги прошлого и проблемы настоящего плюс 2026 Т. 15 № 2 (74) С. 20–25
The paper addresses the problem of formalized description of intruder behavior in government information systems. An approach based on hidden Markov models is proposed for modeling the actions of an intruder, where the stages of malicious activity are interpreted as hidden states and the events registered by the system are treated as observable symbols of ...
Added: September 6, 2026
Starodubov K., Максимова Е. А., Утешева Г. Ш. et al., Научно-аналитический журнал "Вестник Санкт-Петербургского университета Государственной противопожарной службы МЧС России" 2026 № 2 С. 92–103
When data are incomplete, standard fuzzy data mining methods face an unacceptable trade-off: deleting objects with missing values loses up to a third of the sample and introduces systematic bias under the MAR mechanism, while mean imputation destroys the covariance structure and produces rules with artificially inflated support. This paper proposes a different solution - ...
Added: September 6, 2026
Bubnova M., Chetverikov V., Pozhidaev E., Информационные технологии 2026 Т. 32 № 8 С. 404–413
A specialized methodology was developed, computer modeling was conducted, and a comparative analysis was performed for autonomous control methods for small spacecraft, differing in how the nonlinearity of the initial stabilization problem is taken into account:
— control constructed using a system of linear differential equations (SLDE);
— control constructed using SLDE applied to a more general ...
Added: September 2, 2026
Шейкин В. В., Starodubov K., Безопасность. Управление. Искусственный интеллект 2026 Т. 3 № S3 С. 47–57
The article proposes a formal apparatus for risk analysis in information systems based on the apparatus of fuzzy logic, graph theory and matrices. A system of definitions is introduced that includes a universe of entities, sets of violators and destructive influences, as well as membership functions describing the fuzzy relationships between them. A risk calculation ...
Added: August 29, 2026
Воронеж: Издательский дом ВГУ, 2026.
В сборник вошли материалы XXXII Международной научно-технической конференции «Радиолокация, навигация, связь» (RLNC*2026), прошедшие ре цензирование членами программного комитета конференции. Основной целью конференции является организация взаимодействия научных и научно технических коллективов для обмена опытом и новыми творческими успехами. Достижение этой цели также способствует внедрению перспективных разрабо ток, имеющих практическое значение для дальнейшего развития промышленно сти, экономики ...
Added: August 29, 2026
Romanov A., Физулин А. В., Stepanyants V., Московский транспорт. Наука и проектирование 2026 № 2 С. 77–90
The behaviour of connected automated vehicles in implementing cooperative safety functions
depends on the timely exchange of V2X messages. At the same time, the end-to-end impact of 5G NR-V2X
Mode 2 message delivery failures on vehicle behaviour requires evaluation not only by aggregated network
metrics but also by the timeliness of V2X message arrival within the time window ...
Added: August 25, 2026
Trofimova E., Shamina Z., Selifanova M. et al., , in: Proceedings of the Generative Code Intelligence Workshop (GeCoIn 2026), co-located with the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026)Vol. 4238.: CEUR-WS.org, 2026.
We introduce ML2B, the first benchmark for evaluating cross-lingual task comprehension in end-to-end ML pipeline generation by large language models. Despite growing global AI adoption, no systematic evaluation exists for ML pipeline generation beyond English task descriptions. ML2B addresses this gap with 35 Kaggle competitions spanning tabular, text, and image domains, translated into 14 languages ...
Added: August 20, 2026
Белгородский государственный технологический университет им. В.Г. Шухова, 2026.
В сборнике опубликованы доклады студентов, аспирантов и молодых ученых, представленные по результатам проведения Международной научно-технической конференции молодых ученых БГТУ им. В.Г. Шухова. Материалы статей могут быть использованы студентами, магистрантами, аспирантами и молодыми учеными, занимающимися вопросами энергоснабжения и управления в производстве строительных материалов, архитектурных конструкций, электротехники, экономики и менеджмента, гуманитарных и социальных исследований, а также в ...
Added: August 19, 2026
Междуреченск: Кузбасский государственный технический университет им. Т.Ф. Горбачева, 2026.
В сборнике представлены материалы докладов по направлениям Международной научно-практической конференции «Современные тенденции и инновации в науке и производстве»: 1. Технологии и инновации в горной промышленности; 2. Экономика, управление, финансы; 3. Информационные системы и технологии; 4. Юный исследователь. Целью этой конференции является обмен передовым опытом, повышения квалификации их участников и, вместе с тем, это способ установления и укрепления научного сотрудничества среди ...
Added: August 11, 2026
Scientific publishing house Infinity, 2026.
These Conference Proceedings combine materials of the conference –
research papers and thesis reports of scientifi c workers. They examine technical,
juridical and sociological aspects of research issues. Some articles deal
with theoretical and methodological approaches and principles of research
questions of personality professionalization. ...
Added: July 24, 2026
Surkov A., Ignatenko V., Koltsov S., Computers, Materials and Continua 2026 Vol. 88 No. 3 Article 74
Large language models have recently demonstrated promising capabilities in mathematical reasoning; however, their performance on tasks requiring strict symbolic manipulation, such as solving differential equations, remains limited, especially for compact models. In this work, we investigate whether activation steering combined with reinforcement learning can improve the quality of solutions generated by pretrained language models without ...
Added: July 8, 2026
IEEE, 2025.
The 9th International Scientific Conference on Information, Control, and Communication Technologies (ICCT-2025) had been held October 7-11, 2025 in Gomel, Belarus. The main technical areas and applications covered by the proceedings are optoelectronics, acousto-optic, microwave technology, antenna systems, measuring technology, metamaterials, nanostructures, nanofilms, photonic crystals, biology and medicine, biophotonics, bioengineering, neural networks in communication technologies; ...
Added: June 23, 2026
Shavrina T., Fenogenova A., Emelyanov A. et al., , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).: Association for Computational Linguistics, 2020. P. 4717–4726.
In this paper, we introduce an advanced Russian general language understanding evaluation benchmark – RussianSuperGLUE. Recent advances in the field of universal language models and transformers require the development of a methodology for their broad diagnostics and testing for general intellectual skills - detection of natural language inference, commonsense reasoning, ability to perform simple logical ...
Added: June 14, 2026
Zmitrovich D., Abramov A., Kalmykov A. et al., , in: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).: ELRA and ICCL, 2024.
Transformer language models (LMs) are fundamental to NLP research methodologies and applications in various languages. However, developing such models specifically for the Russian language has received little attention. This paper introduces a collection of 13 Russian Transformer LMs, which spans encoder (ruBERT, ruRoBERTa, ruELECTRA), decoder (ruGPT-3), and encoder-decoder (ruT5, FRED-T5) architectures. We provide a report ...
Added: June 14, 2026
Biryukova K., Chelnokova D., Erkenova J. et al., , in: Analysis of Images, Social Networks and Texts. AIST 2024Issue 2364.: Cham: Springer, 2024. P. 109–121.
Visual Question Answering is one of the essential parts of machine reasoning. Datasets are created to train a model to perform this task. However, there are only a few datasets for the Russian language. Moreover, existing sets may have strong biases, allowing models to score high without reasoning. In this paper, we adapt the idea ...
Added: June 14, 2026
Chervyakov A., Isaeva U., Emelyanov A. et al., , in: Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)Vol. 1.: Association for Computational Linguistics, 2026. P. 2114–2161.
Multimodal large language models (MLLMs) are currently at the center of research attention, showing rapid progress in scale and capabilities, yet their intelligence, limitations, and risks remain insufficiently understood. To address these issues, particularly in the context of the Russian language, where no multimodal benchmarks currently exist, we introduce MERA Multi, an open multimodal evaluation ...
Added: June 14, 2026
Association for Computational Linguistics, 2026.
Added: June 14, 2026
Chernogorskii F., Averkiev S., Kudraleeva L. et al., , in: Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)Vol. 4.: Association for Computational Linguistics, 2026. P. 622–638.
This paper introduces DRAGOn, method to design a RAG benchmark on a regularly updated corpus. It features recent reference datasets, a question generation framework, an automatic evaluation pipeline, and a public leaderboard. Specified reference datasets allow for uniform comparison of RAG systems, while newly generated dataset versions mitigate data leakage and ensure that all models ...
Added: June 13, 2026
Kenneth E., Chung I., Kerboua I. et al., , in: Proceedings of the 13th International Conference on Learning Representations (ICLR 2025).: ICLR, 2025. P. 102004–102060.
Text embeddings are typically evaluated on a limited set of tasks, which are constrained by language, domain, and task diversity. To address these limitations and provide a more comprehensive evaluation, we introduce the Massive Multilingual Text Embedding Benchmark (MMTEB) - a large-scale, community-driven expansion of MTEB, covering over 500 quality-controlled evaluation tasks across 250+ languages. ...
Added: June 11, 2026