Leixin is a PhD researcher in Computational Linguistics and Natural Language Processing at the University of Tübingen. She is a member of Project C2, Signaling and Interpreting Defectivity in Common Ground: Face-to-Face, Voice-Only, and Text-Only Communication (CRC 1718 Common Ground).
Research Interests
General Interests: Natural Language Processing (NLP), Semantic Representation, Multimodal Large Language Models (LLMs), Explainable Artificial Intelligence (XAI).
Interpretation variation and perspective-aware modeling
Model uncertainty quantification and confidence estimation
Multi-model large language models
Representation learning
Education
M.A. in Computational Linguistics, University of Tübingen
M.Phil. in Linguistics, Trinity College Dublin
Selected Publications/Projects
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).
