1. Safe Pretraining of Deep Language Models in a Synthetic Pseudo-Language

    Gorbacheva, T. E. & Bondarenko, I. Y., Dec 2023, In: Doklady Mathematics. 108, Suppl 2, p. S494-S502 9 p.

    Research output: Contribution to journal › Article › peer-review

  2. Pisets: A Robust Speech Recognition System for Lectures and Interviews

    Bondarenko, I., Grebenkin, D., Sedukhin, O., Klementev, M., Derunets, R. & Budneva, L., 2025, Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025. Chen, W., Yang, Y., Kachuee, M. & Fu, X-Y. (eds.). Association for Computational Linguistics, p. 988-997 10 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. Low-resource Buryat-Russian neural machine translation

    Baturova, D., Abidueva, S., Bondarenko, I. & Lichko, D., 1 Aug 2025, Proceedings of the Fourth Workshop on NLP Applications to Field Linguistics. Le Ferrand, É., Klyachko, E., Postnikova, A., Shavrina, T., Serikov, O., Voloshina, E. & Vylomova, E. (eds.). Association for Computational Linguistics, p. 85-93 9 p. (Proceedings of the Fourth Workshop on NLP Applications to Field Linguistics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Environment-Agnostic IRM via Unsupervised Clustering and Adaptive Penalty Scaling

    Miron, B. & Bondarenko, I., 2026, Advances in Neural Computation, Machine Learning, and Cognitive Research IX. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. & Klimov, V. V. (eds.). Springer, p. 47-63 17 p. 5. (Studies in Computational Intelligence; vol. 1241 SCI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. Domain Knowledge and Language Embeddings for Low-Resource Multilingual Phoneme ASR

    Legchenko, A. & Bondarenko, I., 2026, Speech and Computer. Karpov, A. & Gosztolya, G. (eds.). Springer, p. 130-143 14 p. 10. (Lecture Notes in Computer Science; vol. 16188 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition

    Yakovenko, O. & Bondarenko, I., 2021, Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Revised Supplementary Proceedings. van der Aalst, W. M., Batagelj, V., Buzmakov, A., Ignatov, D. I., Kalenkova, A., Khachay, M., Koltsova, O., Kutuzov, A., Kuznetsov, S. O., Lomazova, I. A., Loukachevitch, N., Makarov, I., Napoli, A., Panchenko, A., Pardalos, P. M., Pelillo, M., Savchenko, A. V. & Tutubalina, E. (eds.). Springer, p. 115-126 12 p. (Communications in Computer and Information Science; vol. 1357 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Convolutional Variational Autoencoders for Audio Feature Representation in Speech Recognition Systems

    Yakovenko, O. & Bondarenko, I., 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Martín-Vide, C., Vega-Rodríguez, M. A. & Yang, M-S. (eds.). Springer, p. 54-66 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12494 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

  8. Contrastive fine-tuning to improve generalization in deep NER

    Bondarenko, I., 15 Jun 2022, In: Komp'juternaja Lingvistika i Intellektual'nye Tehnologii. 21, p. 70-80 11 p., 8.

    Research output: Contribution to journal › Article › peer-review

  9. Conditional Random Fields for Metaphor Detection

    Мосолова, А. В., Бондаренко, И. & Фомин, В. В., Oct 2018, Proceedings of the Workshop on Figurative Language Processing, Fig-Lang 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018. Klebanov, B. B., Shutova, E., Lichtenstein, P., Muresan, S. & Leong, C. W. (eds.). New Orleans, Louisiana: Association for Computational Linguistics, p. 121-123 3 p. (Proceedings of the Workshop on Figurative Language Processing, Fig-Lang 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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