Hi, I'm Zheyu!

I am a 1st-year PhD student at Technical University of Munich, advised by Gjergji Kasneci.

Prior to that, I studied at LMU Munich, where I obtained my bachelor's degree in computer science and mathematics, and master's degree in computational linguistics.

I am broadly interested in natural language generation and model robustness and generalization. Currently, my research focuses on synthetic data generation, particularly in scenarios with limited data points.

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News

May '25   🍻 One paper is accepted to ACL 2025 Findings!

Dec '24   🥳 I start my PhD journey!!!

Jan '24   🦞 One paper is accepted to EACL 2024 and I will be in Malta as a student volunteer!

Oct '23   🍻 One paper is accepted to BabyLM Challenge @CoNLL 2023!

Publications

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Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models


Chenchen Yuan, Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
ACL 2025 Findings
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We proposed a framework that aligns different LLMs by aggregating their moral judgments and optimizing embeddings to improve consistency and fidelity.

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mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models


Peiqin Lin, Chengzhi Hu, Zheyu Zhang, André FT Martins, Hinrich Schütze
EACL 2024 Findings
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We evaluated the effectiveness of various mPLMs in measuring language similarity and improved zero-shot cross-lingual transfer performance based on the results.

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Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models


Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, Ercong Nie
EMNLP 2023 Workshop CoNLL-CMCL Shared Task BabyLM Challenge
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We proposed using LLMs to reconstruct existing data into NLU examples for training compact LMs, demonstrating the effectiveness of synthetic data in small LM training.


Experience

Academic Service

  • Volunteering
    EACL 2024
  • Reviewing
    ECML-PKDD 2025, ACL-ARR 2025, BabyLM Challenge 2023
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