The many faces of GESIS
Vita
Han Yang is a research assistant at the Department of Knowledge Technologies for the Social Sciences (KTS) in the team Information & Data Retrieval. He graduated from the Ludwig Maximilian University of Munich (LMU) with a master's degree in computer science and a master's degree in computational linguistics, and Leibniz University of Hannover with a master's degree in mechanical engineering. He was also a Junior Applied Scientist at Zalando. He is also a student member of the German Informatics Society. He is interested in Machine Learning, Natural Language Processing, and Reinforcement Learning.Service
Han Yang is responsible for SocioHub Project.Publications
Journal article
Lang, Maike, Rawa Hamad Ameen, Fidan Badalova, and Han Yang. 2024. "Technische Umsetzung und Funktionen von SocioHub: Eine Analyse des Kollaborationsportals für Soziologie und Sozialwissenschaften." ABI Technik 44 (4): 268-278. doi: https://doi.org/10.1515/abitech-2024-0040.
Chapter in an edited book
Tykhonov, Vyacheslav, Han Yang, Philipp Mayr, Jetze Touber, and Andrea Scharnhorst. 2025. "Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs." In Joint Workshop of the 5th AI + Informetrics (AII) and the 6th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE): AII-EEKE 2025, doi: https://doi.org/10.48550/arXiv.2505.11633. https://arxiv.org/abs/2505.11633.
Zhag, Zheyu, Han Yang, Bolei Ma, David Rügamer, and Ercong Nie. 2023. "Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models." In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, edited by Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, and Ryan Cotterell, 130–142. Singapore: Association for Computational Linguistics. doi: https://doi.org/10.18653/v1/2023.conll-babylm.13. https://aclanthology.org/2023.conll-babylm.13.pdf.
Working and discussion paper
Yang, Han, Jian Lan, Yihong Liu, Hinrich Schütze, and Thomas Seidl. 2025. Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach. arxiv. doi: https://doi.org/10.48550/arXiv.2508.21206.