CV

Education

• Ph.D in Efficiency of Large Language Models, University of Amsterdam, 2023 - 2027 (expected).
• M.S. in Artificial Intelligence, University of Amsterdam, 2020 - 2022. Cum Laude (With Distinction), GPA: 8.2/10.
• B.Eng. in Computer Science, Beijing Jiaotong University, 2015 - 2019. GPA: 91/100.

Work experience

• NOV/2021 - MAR/2023: Thesis Student and Research Assistant
  • ILLC, University of Amsterdam, Amsterdam, the Netherlands
  • Project: Investigating Basic Language Abilities of Pretrained Multimodal Models (Published in EMNLP 2023)
  • Supervisor: Dr. Sandro Pezzelle, Prof. Raquel Fernández
• SEP/2022 – NOV/2022: AI Fellow
  • Pi School, Rome, Italy
  • Duties included: Conducted multilingual visual document information extraction, achieving 87% accuracy in task completion.
• JUL/2021 – SEP/2021: Data Scientist Summer Intern
  • Data Science Lab at KPN, Amsterdam, the Netherlands
  • Duties included: Developed an aspect-based emotion detection pipeline for customer contact analysis.

Skills

• Programming: Python (Advanced) (PyTorch, Hugging Face, HELM, LitGPT), Java (Familiar)
• Version Contrl and ML Project Management: Git (branching and merging), MLFlow, WandB
• Other Tools: Linux (basic commands and scripting), Docker, Hadoop (beginner)
• Languages: English (working proficiency), Chinese (native), Cantonese (native), Dutch (A2)

Publications

The BLA benchmark: Investigating basic language abilities of pre-trained multimodal models

Xinyi Chen, Raquel Fernández, and Sandro Pezzelle. 2023. The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5817–5830, Singapore. Association for Computational Linguistics.

[Re] Replication Study of ‘Generative causal explanations of black-box classifiers’

Verhoeven, I., Chen, X., Hu, Q., and Holubar, M. 2021. [Re] Replication Study of ’Generative causal explanations of black-box classifiers.’ ReScience C 7, 2, #23.

Teaching

• Spring, 2022/2024: Teaching Assistance
  • University of Amsterdam, Amsterdam, the Netherlands
  • Course(s): Information Retrieval 1 (Master’s Level Course)