Jiahui Li

I am a Ph.D. researcher dedicated to the INPROMPT project, investigating interactive prompt optimization through human interventions. I hold a bachelor's degree in computer science and technology from Nanjing University of Aeronautics and Astronautics and a master’s degree in scientific computing from Heidelberg University.

My previous research focus was related to text summarization and domain adaptation in language models. Building on this foundation, I develop my interest in the exploration of emotion and psychological theories to enhance language model optimization.

Publications

Li, Jiahui/Klinger, Roman (2025): iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop. In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. S. 276–285.

Li, Jiahui/Papay, Sean/Klinger, Roman (2025): Are Humans as Brittle as Large Language Models?. In: Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. Mumbai, India: The Asian Federation of Natural Language Processing and The Association for Computational Linguistics. S. 2130–2155.

Sch?fer, Johannes et al. (2025): Which Demographics do LLMs Default to During Annotation?. In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. S. 17331–17348.