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Results: 13
Number of items: 13
  • Open Access
    Stap, D., & Monz, C. (2025). The Effect of Language Diversity When Fine-Tuning Large Language Models for 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. 4199-4211). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-emnlp.224
  • Open Access
    Stap, D. (2025). Analyzing and improving cross-lingual knowledge transfer for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sainz, O., García-Ferrero, I., Jacovi, A., Campos, J. A., Elazar, Y., Agirre, E., Goldberg, Y., Chen, W.-L., Chim, J., Choshen, L., D’Amico-Wong, L., Dell, M., Fan, R.-Z., Golchin, S., Li, Y., Liu, P., Pahwa, B., Prabhu, A., Sharma, S., ... Yang, J. (2024). Data Contamination Report from the 2024 CONDA Shared Task. In O. Sainz, I. García Ferrero, E. Agirre, J. A. Campos, A. Jacovi, Y. Elazar, & Y. Goldberg (Eds.), The First Data Contamination Workshop : proceedings of the workshop: CONDA 2024 : August 16, 2024 (pp. 41–56). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.conda-1.4
  • Open Access
    Tan, S., Wu, D., Stap, D., Aycock, S., & Monz, C. (2024). UvA-MT’s Participation in the WMT24 General Translation Shared Task. In B. Haddow, T. Kocmi, P. Koehn, & C. Monz (Eds.), Ninth Conference on Machine Translation : Proceedings of the Conference: WMT 2024 : November 15-16, 2024 (pp. 176-184). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.wmt-1.11
  • Open Access
    Wu, D., Tan, S., Meng, Y., Stap, D., & Monz, C. (2024). How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics : Findings of the Association for Computational Linguistics: ACL 2024: ACL 2024 : August 11-16, 2024 (pp. 15092-15108). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.896
  • Open Access
    Stap, D., Hasler, E., Byrne, B., Monz, C., & Tran, K. (2024). The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (Vol. 1, pp. 6189-6206). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.336
  • Open Access
    Stap, D., & Araabi, A. (2023). ChatGPT is not a good indigenous translator. In M. Mager, A. Ebrahimi, A. Oncevay, E. Rice, S. Rijhwani, A. Palmer, & K. Kann (Eds.), Third Workshop on Natural Language Processing for Indigenous Languages of the Americas: Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP) : July 14, 2023 (pp. 163–167). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.americasnlp-1.17
  • 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
  • Open Access
    Stap, D., & Monz, C. (2023). Multilingual k-Nearest-Neighbor Machine Translation. In H. Bouamor, J. Pino, & K. Bali (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp. 9200–9208). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.571
  • Open Access
    Wu, D., Tan, S., Stap, D., Araabi, A., & Monz, C. (2023). UvA-MT’s Participation in the WMT 2023 General Translation Shared Task. In P. Koehn, B. Haddow, T. Kocmi, & C. Monz (Eds.), Eighth Conference on Machine Translation: WMT 2023 : December 6-7, 2023 (pp. 175–180). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2310.09946, https://doi.org/10.18653/v1/2023.wmt-1.17
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