Wei Zhao

(him)


Email: wei.zhao@abdn.ac.uk

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Welcome!

I am a researcher, a lecturer and a PI in NLP at the University of Aberdeen, and a lecturer at Heidelberg University. Previously, I was a postdoctoral researcher at Heidelberg Institute for Theoretical Studies (HITS) and Heidelberg University, working on the Geometry and Representation Learning. In December 2022, I earned my Ph.D. in NLP from the AIPHES Training Group at TU Darmstadt. My research interests include evaluation of NLP systems, cross-temporal research in NLP, and more recently, NLP for science. I am an Area Chair at ARR, COLING, CoNLL 2025, and a grant application reviewer for Leverhulme Trust and ISPF.

Recent News

03/2025: Recipient of Sponsorship Funding from Artificial Intelligence Journal

02/2025: Recipient of Research Catalyst Funding from the University of Aberdeen

01/2025: A paper about evaluation of LLMs accepted at NAACL

01/2025: Recipient of Computing Credits from OpenAI

12/2024: A paper nominated by ARR Area Chair for Best Paper Award

12/2024: Two papers about LLMs for human annotation accepted at the CoMeDi Workshop, co-located with COLING

08/2024: Recipient of Research Collaboration Grant from the Royal Society of Edinburgh

07/2024: A paper about LLMs for lexicography accepted at the LLM-LEX Workshop, co-located with EURALEX

07/2024: Recipient of Computing Credits from Google

06/2024: Three papers about cross-temporal research accepted at the LChange Workshop, co-located with ACL

04/2024: A paper about graph embedding accepted at TMLR

02/2024: A paper about evaluation of LLMs accepted at JMLR

01/2024: A paper about cross-temporal research accepted at EACL

Invited Talks

05/2025: Leipzig University, Germany

04/2025: Aalborg University (Copenhagen campus), Denmark

09/2024: Oxford University Press, UK

09/2024: IR Group, University of Glasgow, UK

06/2024: Stuttgart University, Germany

06/2024: Mannheim University, Germany

06/2024: Université Grenoble Alpes, France

Selected Publications

How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs - Ran Zhang, Wei Zhao, Steffen Eger, NAACL 2025, Nomination for Best Paper Award (2.5% of paper submissions)

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation - Steffen Eger, Yong Cao, Jennifer D'Souza, Andreas Geiger, Christian Greisinger, Stephanie Gross, Yufang Hou, Brigitte Krenn, Anne Lauscher, Yizhi Li, Chenghua Lin, Nafise Sadat Moosavi, Wei Zhao, Tristan Miller, preprint, 02/2025

Research Group (current students)

Qianchen Luo (MSC): LLMs | Cross-Temporal Bias | Evaluation

Gagan Bhatia (MSC): LLMs | Cross-Temporal Bias | Interpretability

Niklas Lough (BSC): LLMs | Cross-Temporal Bias | Forecasting

Roshani Nitin Pawar (MSC): LLMs | Cross-Temporal Bias | Datasets Analysis

Ahmad Isa (MSC): LLMs | Cross-Temporal Bias | Multilingual NLP

Ran Zhang (PhD, co-supervised w/ Steffen Eger): LLMs | Translation | Evaluation

Shu Fan Sun (BSC): LLMs | Translation | Media Study

Francisco De La Torre Silva (BSC): LLMs | Translation | Sign2Spoken

Ying Xuan Loke (BSC): LLMs | Lexical Semantics | Annotation

Lydia Körber (MSC): LLMs | Lexical Semantics | Lexicography

Melis Çelikkol (MSC): LLMs | Lexical Semantics | Sign Language

Teaching

CS4051: Natural Language Processing (2024-2025) at Aberdeen

CS5063: Evaluation of AI Systems (2024-2025) at Aberdeen

CS551N: Introduction to Programming (2024-2025) at Aberdeen

CS551P: Advanced Programming (2024-2025) at Aberdeen

PS/HS: Diachronic Language Models (2023-2025) at Heidelberg

Open Positions

Deadline: 10/04/2025 MSC thesis project on Evaluation of AI Misuse in Scientific Publications

Deadline: 10/04/2025 MSC thesis project on Generation and Evaluation for Multimodal Scientific Content

Deadline: 15/04/2025 Annotators for Multimodal Scientific Content

Acknowledgements

We are grateful for funding support from Artificial Intelligence Journal, the University of Aberdeen, Royal Society of Edinburgh, OpenAI and Google Cloud.
The template is by Vasilios Mavroudis. Thanks!