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Y. (Yan) Meng MSc

Faculty of Science
Informatics Institute

Visiting address
  • Science Park 900
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2025

    • Meng, Y., Wu, D., & Monz, C. (2025). How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation. 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. 7466–7482). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-naacl.416
    • Troshin, S., Mohammed, W. M. A., Meng, Y., Monz, C., Niculae, V., & Fokkens, A. (2025). Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs. In Second Conference on Language Modeling https://openreview.net/forum?id=IyOC5GCzv4
    • 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 [details]

    2024

    • 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 [details]
    • 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 [details]

    2023

    • 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 [details]
    • Meng, Y., Pan, L., Cao, Y., & Kan, M.-Y. (2023). FollowupQG: Towards Information-Seeking Followup Question Generation. In J. C. Park, Y. Arase, B. Hu, W. Lu, D. Wijaya, A. Purwarianti, & A. A. Krisnadhi (Eds.), The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics : proceedings of the conference: IJCNLP-AACL 2023 : November 1-4, 2023 (Vol. 1, pp. 252–271). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.ijcnlp-main.17 [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    • Weco AI
      Internship