Beiduo Chen

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I’m currently an ELLIS Ph.D. student in The Center for Information and Language Processing (CIS) at Ludwig-Maximilians-Universität München (LMU Munich), supervised by Prof. Dr. Barbara Plank who is leading MaiNLP Lab, and co-supervised by Prof. Dr. Anna Korhonen in Language Technology Laboratory (LTL) at University of Cambridge.

Before that, I received my Master and Bachelor’s degree with an outstanding graduate award from University of Science and Technology of China (USTC), supervised by Prof. Dr. Wu Guo, and co-advised by Prof. Dr. Zhen-Hua Ling at USTC NLP Group.

 

 

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Research Interests

My main research interests lie within deep learning for natural language processing, with a particular focus on Large Language Models (LLMs), human-centered NLP, and multilingualism.

• LLM Reasoning, Uncertainty & Evaluation: Investigating Chain-of-Thought (CoT) reasoning mechanisms (Chen et al., 2025b; Chen et al., 2026a), modeling LLM uncertainty through human judgment distributions (Chen et al., 2024), and developing robust evaluation frameworks for cultural awareness (Zhao et al., 2025).

• Humen-centered NLP : Decomposing human annotation disagreement (Hong and Chen et al., 2026), exploring explanation-based alignment and within-label variation (Chen et al., 2025a; Hong and Chen et al., 2025), and developing human-inspired pre-training strategies (Chen et al., 2023).

• Mulgilingualism : Advancing cross-lingual transfer (Ma and Chen et al., 2022; Chen et al., 2022c), cross-lingual post-training (Chen et al., 2022a), and multilingual adaptation (Chen et al., 2022b).

Feel free to reach out if you’re interested in topics related to NLP and LLMs!

 

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