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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. Email / GitHub / Google Scholar / LinkedIn / Twitter |
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NewsMay '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 ModelsChenchen Yuan, Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci ACL 2025 Findings paper / 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 ModelsPeiqin Lin, Chengzhi Hu, Zheyu Zhang, André FT Martins, Hinrich Schütze EACL 2024 Findings paper / code / 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 ModelsZheyu Zhang, Han Yang, Bolei Ma, David Rügamer, Ercong Nie EMNLP 2023 Workshop CoNLL-CMCL Shared Task BabyLM Challenge paper / code / 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
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Academic Service
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