Zhou, Ej Spelt Yijie; Read Ej.

About

I am a second-year PhD student at Language Technology Lab, University of Cambridge, advised by Prof. Anna Korhonen.

My PhD is focused on Natural Language Processing and especially multilingual interpretability of large language models.

Publication


Beyond the Final Layer — paper figure

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models

Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vulić, Anna Korhonen

In submission to ICLR 2026, also invited spotlight talk in COLM 2025 MELT, and NeurIPS 2025 MechInterp [Paper

HealthDial dataset figure

Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Evidence-Based Public Health Communication

Songbo Hu*, Yinhong Liu*, Ej Zhou*, Evgeniia Razumovskaia, Xiaobin Wang, Alexander Fraser, Ivan Vulić**, and Anna Korhonen**

In submission to ACL 2026

Bias Beyond English — paper figure

Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting

Ej Zhou, Weiming Lu

NLPCC 2025 main, also in ACL 2025 GeBNLP [Paper

Cross-Lingual Summarization pipeline

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improvement Annotation
Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu and Yue Zhang

ACL 2023 Long [Paper]|[Code

ODSUM figure

ODSUM : New Benchmarks for Open Domain Multi-Document Summarization

Yijie Zhou, Kejian Shi, Wencai Zhang, Yixin Liu, Yilun Zhao, Arman Cohan

arxiv 2309.08960 [Paper]|[Code

Education

Prior to my PhD, I completed a B.Eng. (Honours) in Computer Science and Engineering at Zhejiang University (Chu Kochen Honors College). During my undergraduate studies I was supervised by Prof. Yue Zhang as a research intern at Westlake University, spent a semester as an exchange student at Cornell University working as a research assistant in CommCollabTech, and completed a research internship at Yale University under Prof. Arman Cohan. I was also a visiting student at the University of Oxford.

University of Cambridge

Sept 2024 — Jun 2028 (expected) — PhD in Computation Cognition and Language, Hughes Hall

Advised by Prof. Anna Korhonen

Zhejiang University

Sept 2020 — Jun 2024 — B.Eng. (Honours) in Computer Science

Grade: 3.99 / 4 — Chu Kochen Honors College

Cornell University

Jan 2023 — Jun 2023 — Exchange student (CommCollabTech)

University of Oxford

Sept 2023 — Jun 2024 — Visiting student (St Hilda's College)

Experience

Research Intern — Yale

Apr 2023 — Oct 2023

Advised by Prof. Arman Cohan. Worked on benchmarking open-domain multi-document summarization and robustness; single-author paper: paper.

Research Assistant — Cornell

Jan 2023 — Jun 2023

In CommCollabTech Lab. Built a persuasive agent for misinformation detection and contributed to Cornell Language Expansion Program.

Research Intern — Westlake University

Sept 2022 — Jan 2023

Advised by Prof. Yue Zhang. Contributed to a benchmark for cross-lingual summarization (ACL 2023 Long).

Team Leader / Internship

Aug 2021 — Aug 2022

Led a team in the 9th INTEL CUP Parallel Application Challenge; internship at Hangzhou City Brain (IRS system maintenance).

Language et al.

Wu is my muttersprache but my education was in Mandarin. Apart from that I can speak some French, Japanese, Russian, English and German to varying degrees. I am learning Polish and Portuguese this year. I am passionate about languages and it has always been a motivation for me to work on NLP.

Some other stuff about me include: I am a cinema enthusiast and I was in 76-78E FESTIVAL DE CANNES; I consider myself a Buddhist; I trained Guqin in Westlake Qin-Society and I taught it in ZJU for one year.





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