Yanzhi Tian (田炎智), is currently a master student at School of Computer Science and Technology, Beijing Institute of Technology(北京理工大学计算机学院). He received his bachelor’s degree from Elite class of XUTELI, Beijing Institute of Technology(北京理工大学徐特立英才班) in 2023, majoring in computer science.

His research interests include Machine Translation, Large Language Models and Vision Language Models.

🔥 News

  • 2025.05:  🎉🎉 1 paper has been accepted by ACL 2025 Findings!

📝 Publications

ACL 2025 Findings
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Exploring In-Image Machine Translation with Real-World Background

Yanzhi Tian, Zeming Liu, Zhengyang Liu, Yuhang Guo

  • We tackle In-Image Machine Translation with real-world backgrounds by introducing a new dataset IIMT30k and the DebackX model for better translation and visual quality.
  • Paper arXiv
  • Code GitHub
  • Dataset HuggingFace
EMNLP 2023 Findings
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In-Image Neural Machine Translation with Segmented Pixel Sequence-to-Sequence Model

Yanzhi Tian, Xiang Li, Zeming Liu, Yuhang Guo, Bin Wang

  • We design an end-to-end model for IIMT that outperforms traditional cascade methods for the first time.
  • Paper ACL OpenReview
  • Code GitHub

2023

2022

📖 Educations

  • 2023.09 - now: Master. Computer Science, School of Computer Science and Technology, Beijing Institute of Technology.
  • 2019.09 - 2023.06: Undergraduate. Computer Science, Elite class of XUTELI, Beijing Institute of Technology.

💻 Internships

  • 2023.01 - 2023.06, Internship at Xiaomi AI Lab. Mentor: Xiang Li.