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Results: 161
Number of items: 161
  • Open Access
    Rajaee, S., & Monz, C. (2024). Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Proceedings of the Conference: EACL 2024 : March 17-22, 2024 (Vol. 1, pp. 2895–2914). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-long.177
  • Open Access
    Liao, B., Herold, C., Khadivi, S., & Monz, C. (2024). IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation. 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. 263-269). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2408.11512, https://doi.org/10.18653/v1/2024.wmt-1.19
  • Open Access
    Soleimani Bajestani, A. (2024). Advances in information verification using natural language processing. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Naszádi, K., Oliehoek, F. A., & Monz, C. (2024). Communicating with Speakers and Listeners of Different Pragmatic Levels. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Conference: EMNLP 2024 : November 12-16, 2024 (pp. 21777-21783). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.1213
  • Open Access
    Araabi, A. (2024). Exploring solutions for low-resource neural machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wu, D., Lei, Y., Yates, A., & Monz, C. (2024). Representational Isomorphism and Alignment of Multilingual Large Language Models. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024: EMNLP 2024 : November 12-16, 2024 (pp. 14074-14085). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.823
  • Tan, S., & Monz, C. (2023). ZS-NMT-Variations, EC40 Multilingual Machine Translation Dataset/Benchmark [Data set]. GitHub. https://github.com/Smu-Tan/ZS-NMT-Variations.git
  • Open Access
    Liao, B., Meng, Y., & Monz, C. (2023). Parameter-Efficient Fine-Tuning without Introducing New Latency. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), The 61st Conference of the Association for Computational Linguistics: Proceedings of the Conference : ACL 2023 : July 9-14, 2023 (Vol. 1, pp. 4242–4260). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-long.233
  • Open Access
    Soleimani, A., Monz, C., & Worring, M. (2023). NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023: July 9-14, 2023 (pp. 6405-6419). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.400
  • 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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