Shenbin Qian
Scholar

Shenbin Qian

Google Scholar ID: mJFaiMwAAAAJ
Postdoctoral researcher at University of Oslo
Natural Language Processing
Citations & Impact
All-time
Citations
48
 
H-index
4
 
i10-index
2
 
Publications
16
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models, COLM 2025
  • - NEAR2: A Nested Embedding Approach to Efficient Product Retrieval and Ranking, SIGIR-e-Com'25
  • - Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems, W-NUT 2025
  • - What do Large Language Models Need for Machine Translation Evaluation?, EMNLP 2024
  • - A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content, Ninth Conference
  • - Awards:
  • - Secured a MSCA postdoc fellowship in 2025
  • - Successfully defended PhD thesis: Evaluating Machine Translation of Emotion-loaded Chinese User-generated Content
Research Experience
  • - Postdoc Researcher, University of Oslo, involved in the Marie Skłodowska-Curie Actions (MSCA) project DSTrain, researching the evaluation and explainability of large language models
  • - During PhD, mainly focused on the evaluation of machine translation for user-generated content and contributed to various machine learning projects, including machine translation evaluation, information retrieval, text-to-image generation, and video understanding
  • - Started a new research project on evaluating video understanding models, funded by RNIB, in 2025
Education
  • - PhD in Machine Translation and Natural Language Processing, 2025, University of Surrey, UK
  • - MSc in Applied Data Science and Statistics, 2022, University of Exeter, UK
  • - MA in Translation and Interpreting, 2017, Xihua University, China
  • - BA in English, 2014, Zhijiang College, Zhejiang University of Technology, China
Background
  • - Research Interests: Multilingual Evaluation, LLM Evaluation, LLM Explainability, Sentiment Analysis, Machine Translation, Information Retrieval, Sequence Labeling, Multimodal Generation
  • - Professional Field: Natural Language Processing, Machine Translation, Deep Learning
  • - Biography: Currently a postdoc researcher at the University of Oslo's Language Technology Group, focusing on the evaluation and explainability of large language models. Earned a PhD in Natural Language Processing from the University of Surrey, where the main focus was on the evaluation of machine translation for user-generated content.
Miscellany
  • - Personal Interests: Programming, Natural Language Processing