Faeze Ghorbanpour

PhD Student / NLP Researcher

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Hi!

I’m Faeze, a PhD student at TU Munich, under supervision of Prof. Alexander Fraser. I also work as an NLP researcher at CIS, LMU Munich and am affiliated with the Munich Center for Machine Learning (MCML).

My research centers on making NLP systems more efficient, inclusive, and applicable to real-world problems. My current research focuses on efficient transfer learning for generalizable harmful content detection—a challenging and socially impactful task. I’m especially interested in topics such as efficient and compact language models, low-resource and multilingual NLP, and the intersection of language technology and social impact. These interests are tightly connected by a common goal: enabling robust, fair, and accessible NLP across diverse languages and domains.

If any of this resonates with you—or if you’re just curious about my work—feel free to reach out.
I’m always open to new collaborations and conversations! 🚀

news

Aug 20, 2025 🎉 Our work “Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data” has been accepted for publication at EMNLP 2025! 🎊
Jun 14, 2025 🎉 Our paper “Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study” has been accepted to WOAH at ACL 2025! 🥳
Mar 15, 2025 🎉 Our paper “Differentiating Emigration and Return Migration” has been accepted at ICWSM 2025! ✨ This work is from my research visit at MPIDR, Rostock, Germany.
Dec 15, 2024 🎉 Our paper “Label-Specific Representation and Knowledge Transfer for Harmful Content Detection” has been accepted at NAACL 2025! ✨
Oct 27, 2024 I have moved to the TUM campus in Heilbronn, and after a year and two months as a PhD student at LMU Munich, I am now a PhD student at TU Munich.

selected publications

  1. Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
    Faeze Ghorbanpour, Daryna Dementieva, and Alexander Fraser
    In EMNLP (Main), 2025
  2. Fine-Grained Transfer Learning for Harmful Content Detection through Label-Specific Soft Prompt Tuning
    Faeze Ghorbanpour, Viktor Hangya, and Alexander Fraser
    In NAACL (Main), 2025
  3. FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social Media
    Faeze Ghorbanpour, Maryam Ramezani, Mohammad Amin Fazli, and 1 more author
    Social Network Analysis and Mining, 2023