Mike Zhang

About Me

Hello there! My name is Mike Zhang. I’m a Postdoc in NLP at Aalborg University (AAU, Copenhagen campus) advised by Prof. Johannes Bjerva and Prof. Euan Lindsay. My research is currently at the intersection of NLP and Education. Additionally, I’m affiliated to the Pioneer Centre for Artifical Intelligence.

Previously, I was a PhD Student in NLP at the IT University of Copenhagen (ITU) advised by Prof. Barbara Plank and Prof. Rob van der Goot. I was part of NLPnorth at ITU and MaiNLP at the Ludwig Maximilian University of Munich (LMU). I worked on Computational Job Market Analysis (or NLP for HR), where we investigated how to extract information (e.g., skills) from job ads data and match these to existing resources (e.g., taxonomies).

I was fortunate to have conducted a couple of (successful) Ph.D. research visits to (1) the National University of Singapore (NUS) hosted by Prof. Min-Yen Kan in Spring 2023 and (2) the Swiss Federal Institute of Technology in Lausanne (EPFL) hosted by Prof. Antoine Bosselut in Winter 2023, in both cases working on projects in Computational Job Market Analysis (or NLP for HR).

I am interested in:

• NLP x Education (Postdoc): Can we improve students’ learning by giving them automatic feedback from NLP tools (e.g., language models)? How can we do this over time?
• NLP x HR (PhD): How can we extract relevant skills from job ads and in what way can we match them with existing taxonomies to assist job centers matching candidates to jobs better?
• Resource Creation: My general interests are mostly on resource creation; such as developing annotation guidelines for data annotation, (multilingual) datasets creation in both general and specific domains, and language model training on small and large scale.

What am I up to

• [6 Dec. 2024] SnakModel and MorSed are now accepted at NoDaLiDa 2025!
• [29 Nov. 2024] The Include Benchmark: A multilingual exam benchmark for LLMs is now on Arxiv!
• [22 Nov. 2024] ALM-Bench: A multilingual cultural benchmark for VLMs is now on Arxiv!
• [16 May 2024] The Aya Dataset is accepted to ACL 2024. See you hopefully there!
• [25 Mar. 2024] My Ph.D. thesis is now online! See the ArXiv version here.
• [15 Feb. 2024] I started my Postdoc at Aalborg University working on NLP for Education!

Publications

For the most updated list of publications, see my Google Scholar.
If you’re interested in my Ph.D. Thesis, see here: [Slides] [Thesis].

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Services

Chairing

• Social Media chair: The Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (2024).
• General Co-chair: The 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (2024).
• Session Co-chair: The 13th Edition of its Language Resources and Evaluation Conference (2022).

Program Committee

Area Chair

• NAACL (2024-)

Reviewer

• NeurIPS (2024-)
• ACL Rolling Review (2021-)
• LREC-COLING (2024)
• NAACL (2022-)
• EMNLP (2021-)
• ACL (2019-)
• EACL/NAACL/ACL SRW (2022-)
• LREC (2022-)
• W-NUT, CoNLL, RecSysHR, NLP4HR, Wise-Supervision (2021-)

Invited Talks

• Talk at University of Amsterdam (2024).
• Talk at AI for the People Conference, Aalborg University (2024).
• Lightning talk at AAU NLP Symposium, Aalborg University (2024).
• Guest Lecture on Large Language Models, Aalborg University (2024).
• Guest Lecture on Large Language Models, IT University of Copenhagen (2024).
• Talk at AI x Education Network, Aalborg University (2024).
• Talk at NLP Workshop on Linguistic Variation, IT University of Copenhagen (2023).
• Talk at National University of Singapore (2023).
• Talk at University of Groningen (2021).

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