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Results: 20
Number of items: 20
  • Open Access
    Troshin, S., Niculae, V., & Fokkens, A. (2025). On the Low-Rank Parametrization of Reward Models for Controlled Language Generation. Transactions on Machine Learning Research, 2025, Article 4690. https://openreview.net/forum?id=cjRsEGLT8B
  • Open Access
    Tokarchuk, E., Bakker, H. C., & Niculae, V. (2025). Keep your distance: learning dispersed embeddings on Sm. Transactions on Machine Learning Research, 2025, Article 4726. https://openreview.net/forum?id=5JIQE6HcTd
  • Open Access
    Nachesa, M. K., & Niculae, V. (2025). kNN For Whisper And Its Effect On Bias And Speaker Adaptation. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics : Proceedings of the Conference Findings: NAACL 2025 : April 29-May 4, 2025 (pp. 6636-6642). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-naacl.369
  • Open Access
    Mohammed, W., & Niculae, V. (2025). Context-Aware or Context-Insensitive? Assessing LLMs’ Performance in Document-Level Translation. In P. Bouillon, J. Gerlach, S. Girletti, L. Volkart, R. Rubino, R. Sennrich, A. C. Farinha, M. Gaido, J. Daems, D. Kenny, H. Moniz, & S. Szoc (Eds.), MT Summit Geneva 2025 : Machine Translation Summit XX: MTSummit 2025 : June 23-27, 2025, Geneva Switzerland (Vol. 1, pp. 126-137). European Association for Machine Translation. https://aclanthology.org/2025.mtsummit-1.10/
  • Open Access
    Tokarchuk, E., Troshin, S., & Niculae, V. (2025). Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), The 2025 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2025: EMNLP 2025 : November 4-9, 2025 (pp. 14120-14132). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-emnlp.759
  • Open Access
    Niculae, V., Corro, C., Nangia, N., Mihaylova, T., & Martins, A. F. T. (2025). Discrete Latent Structure in Neural Networks. Foundations and Trends in Signal Processing, 19(2), 99-211. https://doi.org/10.48550/arXiv.2301.07473, https://doi.org/10.1561/2000000134
  • Open Access
    Stap, D. (2025). Analyzing and improving cross-lingual knowledge transfer for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Tokarchuk, E., & Niculae, V. (2024). The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation. In K. Duh, H. Gomez, & S. Bethard (Eds.), The 2024 Conference of the North American Chapter of the Association for Computational Linguistics : proceedings of the conference: NAACL 2024 : June 16-21, 2024 (Vol. 2, pp. 653-662). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.naacl-short.56
  • Open Access
    Araabi, A. (2024). Exploring solutions for low-resource neural machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Stap, D., Niculae, V., & Monz, C. (2023). Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing : Findings of the Association for Computational Linguistics: EMNLP 2023: December 6-10, 2023 (pp. 14973–14987). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.998
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