Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 10 Reduced Inequalities -
SDG 14 Life Below Water -
SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Tiejun Zhao 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A knowledge-fused maximum mean discrepancy for cross-lingual named entity recognition
Cao, H., Shang, J., Yang, M. & Zhao, T., Jan 2026, In: Information Fusion. 125, 103494.Research output: Contribution to journal › Article › peer-review
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Cross-lingual semantic information fusion for word translation enhancement
Ding, Q., Cao, H., Cao, Z., Zhou, Y. & Zhao, T., Jan 2026, In: Information Fusion. 125, 103492.Research output: Contribution to journal › Article › peer-review
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A Chain-of-Task Framework for Instruction Tuning of LLMs Based on Chinese Grammatical Error Correction
Liu, X., Xu, B., Yang, M., Cao, H., Zhu, C., Zhao, T. & Lu, W., 2025, Main Conference. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics (ACL), p. 8623-8639 17 p. (Proceedings - International Conference on Computational Linguistics, COLING).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations -
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
Huang, H., Bu, X., Zhou, H., Qu, Y., Liu, J., Yang, M., Xu, B. & Zhao, T., 2025, Findings of the Association for Computational Linguistics: ACL 2025. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics (ACL), p. 5880-5895 16 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Link opens in a new tab Scopus citations -
A Survey on Human Preference Learning for Aligning Large Language Models
Jiang, R., Chen, K., Bai, X., He, Z., Li, J., Yang, M., Zhao, T., Nie, L. & Zhang, M., 6 Dec 2025, In: ACM Computing Surveys. 58, 6, 152.Research output: Contribution to journal › Review article › peer-review