Allgemeine Interessen: Natürliche Sprachverarbeitung (NLP), Semantische Repräsentation, Multimodale Large Language Models (LLMs), Erklärbare Künstliche Intelligenz (XAI)

Variation in der Interpretation und perspektivbewusstes Modellieren

Quantifizierung von Modellunsicherheit und Abschätzung von Modellvertrauen

Multimodale Large Language Models

Repräsentationslernen

M.A. in Computerlinguistik, University of Tübingen

M.Phil. in Linguistik, Trinity College Dublin

Zhang, L., Eger, S., Cheng, Y., ZHAI, W., Belouadi, J., Moafian, F., & Zhao, Z. (2025) ScImage: How good are multimodal large language models at scientific text-to-image generation?. In The Thirteenth International Conference on Learning Representations.

Zhang, L. (2025). Proposal: From One-Fit-All to Perspective Aware Modeling. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) (pp. 1016-1025).

Zhang, L., Burian, D., John, V., & Bojar, O. (2024). Unveiling Semantic Information in Sentence Embeddings. In Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024 (pp. 39-47).

Zhang, L., & Çöltekin, Ç. (2024). Tübingen-CL at SemEval-2024 Task 1: Ensemble Learning for Semantic Relatedness Estimation. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) (pp. 1019-1025).