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Dive into the research topics where Xuebo Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Domain Adaptive Machine Translation with Synthetic Feedback for Large Language Models
Yang, X., Zhan, R., Wu, J., Zhang, Y., Liu, X., Chao, L. S., Huo, Y. & Wong, D. F., 18 Feb 2026, In: ACM Transactions on Asian and Low-Resource Language Information Processing. 25, 3, 14.Research output: Contribution to journal › Article › peer-review
Open Access -
Exploiting Multimodal Knowledge Graph for Multimodal Machine Translation
Xu, T., Liu, X., Wong, D. F., Zhang, Y., Chao, L. S., Zhang, M. & Gan, T., 2026, In: IEEE Transactions on Multimedia. 28, p. 1677-1688 12 p.Research output: Contribution to journal › Article › peer-review
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Exploring and enhancing the transfer of distribution in knowledge distillation for autoregressive language models
Rao, J., Liu, X., Lin, Z., Ding, L., Li, J. & Zhang, M., 25 Mar 2026, In: Knowledge-Based Systems. 337, 115382.Research output: Contribution to journal › Article › peer-review
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Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
Sun, Y., Zhan, R., Cheang, C. S., Wu, H., Liu, X., Niu, Y., Ye, F., Lan, K., Chao, L. S. & Wong, D. F., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 39 ed. Association for the Advancement of Artificial Intelligence, p. 33135-33143 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 39).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Mitigating Context-Memory Conflicts in LLMs Through Dynamic Cognitive Reconciliation Decoding
Zhou, Y., Li, W., Lu, Y., Wang, Y., Liu, X., Wang, W., Yu, J., Zhang, M. & Li, J., 2026, In: IEEE Transactions on Audio, Speech and Language Processing. 34, p. 1004-1015 12 p.Research output: Contribution to journal › Article › peer-review