Search results
Results: 163
Number of items: 163
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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 -
Wu, D., Meng, Y., Nachesa, M., Aycock, S., & Monz, C. (2025). UvA-MT's Participation in the WMT25 General Translation Shared Task. In B. Haddow, T. Kocmi, P. Koehn, & C. Monz (Eds.), Tenth Conference on Machine Translation : Proceedings of the Conference: WMT 2025 : November 8-9, 2025 (pp. 688-694). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.wmt-1.45
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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
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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
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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
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Meng, Y., & Monz, C. (2024). Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation. 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. 1828–1840). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-long.110
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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
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Liao, B., Herold, C., Khadivi, S., & Monz, C. (2024). ApiQ: Finetuning of 2-Bit Quantized Large Language Model. 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. 20996-21020). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.1168
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Kocmi, T., Avramidis, E., Bawden, R., Bojar, O., Dvorkovich, A., Federmann, C., Fishel, M., Freitag, M., Gowda, T., Grundkiewicz, R., Haddow, B., Karpinska, M., Koehn, P., Marie, B., Monz, C., Murray, K., Nagata, M., Popel, M., Popović, M., ... Zouhar, V. (2024). Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet. 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. 1–46). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.wmt-1.1
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